Edited by Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn

Case Studies in Small-Sample Statistics

A. R. Brazzale, A. C. Davison, N. Reid

In fields such as biology, sociology, and economics, researchers often find that the amount of available information is sufficiently small ...

Designed Experiments, Algebra and Combinatorics

R. A. Bailey

Association schemes are of interest to both mathematicians and statisticians and this book is written with both audiences in mind. ...

Yakov Nikitin

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency ...

A. W. van der Vaart

This book is an introduction to the field of asymptotic statistics. The treatment is mathematically rigorous but practical rather than ...

An Analysis for Statisticians and Interdisciplinary Researchers

Thomas Leonard, John S. J. Hsu

This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. The ...

Edited by Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker

A. C. Davison, D. V. Hinkley

The recently-developed Bootstrap methods enable fairly sophisticated statistical calculations to be done by computer simulation. This frees the application of ...

Models, Reasoning and Inference

Judea Pearl

Andrew Gelman, Jennifer Hill

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data ...

R. A. Bailey

This book should be on the shelf of every practising statistician who designs experiments. It develops a coherent framework for ...

Thomas A. Severini

This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical ...

Sara A. van de Geer

This book deals with estimation methods in statistics, and treats various models in a unified way. Virtually all results are ...

G. A. Young, R. L. Smith

This engaging textbook introduces the key ideas behind drawing formal inferences from data. Aimed at advanced undergraduates and graduate students ...

Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima

J. S. Cramer

For graduates, researchers and practitioners in economics, medicine and statistics, this book explains the theory underlying logit analysis and gives ...

Analysis and Applications in the Social Sciences

Edward W. Frees

This title focuses on models and data that arise from repeated observations of a cross-section of individuals, households or firms. ...

Karim M. Abadir, Jan R. Magnus

Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix ...

Gerda Claeskens, Nils Lid Hjort

Given a data set, you can fit thousands ofmodels, but how do you choose the best? With so many candidate ...

Samuel Kotz, Saralees Nadarajah

Practically every result available in the literature on multivariate t-distributions published in the last 50 years is collected together for ...

Joseph M. Hilbe

At last - a book devoted entirely to the negative binomial model and its many variations. Every model currently offered ...

D. R. Cox

Roger Koenker

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. This monograph is ...

Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic ...

Ronald W. Butler

Modern statistical methods use sophisticated and complex models that can lead to intractable computations. Saddlepoint approximations can be the answer. ...

David Ruppert, M. P. Wand, R. J. Carroll

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression aims ...

J. K. Lindsey

Many observed phenomena are characterised by quantities that vary over time: stochastic processes are designed to study them. This book ...

Theory and Practice

David A. Freedman

A. C. Davison

A Dialogue with the Social Sciences

David A. Freedman, Edited by David Collier, Jasjeet Sekhon, Philip B. Stark

An Introduction to the Analysis of Structured Data in Applications

Marlos A. G. Viana

Experimental data can often be indexed by certain symmetrically interesting structures or sets of labels, including the study of short ...

Michael J. Wichura

The coordinate-free, or geometric, approach to the theory of linear models is more insightful, more elegant, more direct, and simpler ...

Statistical Principles for Practical Applications

R. Mead

B. G. Quinn, E. J. Hannan

Many signals can be modelled as sums of sinusoids and noise. However, the frequencies of the sinusoids are often unknown ...

Donald B. Percival, Andrew T. Walden

This introduction to wavelet analysis and wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed ...

Jon Lee

A First Course in Combinatorial Optimization is a self-contained text for a one-semester introductory graduate-level course for students of operations ...

Devdatt P. Dubhashi, Alessandro Panconesi

Sean Meyn

Power grids, flexible manufacturing, cellular communications: interconnectedness has consequences. This remarkable book gives the tools and philosophy you need to ...

Alain Barrat, Marc Barthélemy, Alessandro Vespignani

Rick Durrett

J. R. Norris

Markov chains are central to the understanding of random processes. This textbook, aimed at advanced undergraduate or MSc students with ...

Sean Meyn, Richard L. Tweedie, Prologue by Peter W. Glynn

Introduction and Applications

Lakhdar Aggoun, Robert J. Elliott

Aimed primarily at those outside of the field of statistics, this book not only provides both an accessible introduction to ...

Optimisation and Evolution

Peter Whittle

Point-to-point vs hub-and-spoke. Questions of network design are real and involve many billions of dollars. Yet little is known about ...

John A. Gubner

The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design ...

Theory and Applications

Rabi Bhattacharya, Mukul Majumdar

Covers a range of topics related to the relatively recent literature on the theory and applications of dynamical systems subject ...

Rick Durrett

The notion of six degrees of separation, meaning that any two people can be connected by a short chain of ...

From Statistical Physics to Information Systems

Massimo Franceschetti, Ronald Meester

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination ...

A Dynamical Systems Viewpoint

Vivek S. Borkar

Chance Rules in Everyday Life

Henk Tijms

This fully revised second edition of Understanding Probability teaches the reader about probability in an informal way. Using examples from ...

Edited by L. Pachter, B. Sturmfels

The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. ...

A Practical Guide

Jos W. R. Twisk

In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such ...

A Practical Guide for Medical Researchers

Jos W. R. Twisk

This is a practical introduction to multilevel analysis suitable for all those doing research. It addresses the issues that confront ...

Edited by Kim-Anh Do, Peter Müller, Marina Vannucci

The interdisciplinary nature of bioinformatics presents many challenges in integrating concepts, methods, software, and data. The Bayesian approach allows evidence ...

Probabilistic Models of Proteins and Nucleic Acids

Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison

The need to analyse the huge amount of raw data being produced by large-scale DNA sequencing projects has led to ...

Alan H. Fielding

Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence ...

Gordon E. Sarty

This book presents a comprehensive review of the various methods for computing brain activity maps from functional Magnetic Resonance Imaging ...

Integrating Evidence and Values

M. G. Myriam Hunink, Paul P. Glasziou, Joanna E. Siegel, Jane C. Weeks, Joseph S. Pliskin, Arthur S. Elstein, Milton C. Weinstein

Decision making in health care involves navigating through a complex and tangled web of diagnostic and therapeutic uncertainties, patient preferences ...

Chance, Risk and Health

Stephen Senn

Stephen Senn explains here how statistics determines many decisions about medical care, from allocating resources for health, to determining which ...

Geoff Dougherty

A Practical Guide

Alan J. Silman, Gary J. Macfarlane

This new edition of a successful book explains the principles and practice of epidemiology, serving as a handbook for those ...

Jin Xiong

Essential Bioinformatics provides a comprehensive and up-to-date introduction to bioinformatics for life scientists. The book covers all key topics in ...

An Introduction for Students and Health Professionals

Penny Webb, Chris Bain, Sandi Pirozzo

This is an accessible, easily readable, and thoroughly modern introduction to epidemiology for students of medicine and public health. It ...

Dan Mayer

Evidence Based Medicine (EBM), using the best evidence in the literature for the best care for an individual patient, sounds ...

Thomas B. Newman, Michael A. Kohn

Paul Suetens

Genetics in Modern Medicine

Edited by Alan Wright, Nicholas Hastie

The aim of this book is to present an up-to-date view of the role of genetics in modern medicine, reflecting ...

A Case Studies Approach

Nello Cristianini, Matthew W. Hahn

Are we related to Neanderthals? Where did SARS come from? Which part of our genome is evolving the fastest? How ...

Derek A. Roff

Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on ...

Donald B. Rubin

Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments ...

Analytic Techniques and Health Policy

Rowena Jacobs, Peter C. Smith, Andrew Street

The pursuit of efficiency has become a central objective of policymakers within most health systems. This book examines the relevance ...

A Guide for Clinicians and Medical Students

B. S. Everitt

From ‘Abcissa’ to ‘Zygosity determination’ - this accessible introduction to the terminology of medical statistics describes more than 1500 terms ...

William H. Majoros

This advanced text describes in detail the algorithms and models used to identify genes in genomic DNA sequences. Unlike existing ...

Dov Stekel

DNA microarrays have revolutionised molecular biology and are becoming a standard tool in the field. Unlike traditional molecular biology, the ...

Eric Renshaw

This volume aims to develop a unifying approach to population studies which emphasises the interplay between modelling and experimentation. The ...

Geometry and Biology

Fred L. Bookstein

Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points such as ‘the ...

A Practical Guide for Clinicians

Mitchell H. Katz

This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes ...

Mark Borodovsky, Svetlana Ekisheva

Biological Sequence Analysis (BSA) by Durbin et al. has been widely adopted as a required text for bioinformatics courses at ...

Computational Analysis

Aidong Zhang

A Practical Guide for Clinicians

Charles C. Miller, Michael J. Reardon, Hazim J. Safi

This book, written by a statistician and two surgeons for a clinical audience, is a practical guide to the process ...

A Practical Guide

Sarah Boslaugh

Secondary data analysis plays an increasingly important role in epidemiology and public health research and practice, but many difficulties confront ...

A Simple Introduction to the Analysis of Complex Data

William D. Dupont

Steve McKillup

Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those ...

A Practical Guide for Clinicians

Mitchell Katz

This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using ...

Steve Selvin

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the ...

Properties of Reconstructed Networks

Bernhard O. Palsson

The new discipline of systems biology examines how biological components interact and form networks, and how the networks generate whole ...

Robert G. McKinnell, Ralph E. Parchment, Alan O. Perantoni, G. Barry Pierce, Ivan Damjanov

This book, designed to be used for an undergraduate course on cancer biology, is aimed at upper division undergraduates with ...

A Practical Approach to Phylogenetic Analysis and Hypothesis Testing

Edited by Philippe Lemey, Marco Salemi, Anne-Mieke Vandamme

W. John Braun, Duncan J. Murdoch

The only introduction you'll need to start programming in R. Co-written by one of the R Core Development Team, and ...

Michel Grabisch, Jean-Luc Marichal, Radko Mesiar, Endre Pap

Sumio Watanabe

Nello Cristianini, John Shawe-Taylor

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances ...

An Example-based Approach

John Maindonald, John Braun

This book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on ...

David J. C. MacKay

David MacKay breaks new ground in this entertaining textbook by giving a united introduction to information theory and inference. These ...

Jacob Kogan

As digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends ...

Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze

Based on various classes taught by the authors, Introduction to Information Retrieval is a textbook on information retrieval, web search, ...

John Shawe-Taylor, Nello Cristianini

This book fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready ...

Adnan Darwiche

John F. Monahan

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. The first half ...

Brian D. Ripley

Now in paperback: the most reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled ...

Lawrence O'Gorman, Michael J. Sammon, Michael Seul

In classic ‘cookbook style’, this book offers guided access for practitioners and researchers to techniques for the digital manipulation and ...

Randomized Algorithms and Probabilistic Analysis

Michael Mitzenmacher, Eli Upfal

Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine ...

Larry Schumaker

The latest edition of this classic work continues to offer a comprehensive treatment of the theory of univariate and tensor-product ...

Philipp Koehn

On the Web, we can retrieve everything, but we can only read it if we know the language. This barrier ...

Principles, Algorithms, and Applications

Jessica Fridrich

Advanced Approaches in Analyzing Unstructured Data

Ronen Feldman, James Sanger

Text mining is a new and exciting area of computer science that tries to solve the crisis of information overload ...

An Intuitive Guide

Philip Hans Franses

David C. M. Dickson, Mary R. Hardy, Howard R. Waters

Cheng Hsiao

Panel data models have become increasingly popular due to their heightened capacity for capturing the complexity of human behavior as ...

Edited by Cheng Hsiao, M. Hashem Pesaran, Kajal Lahiri, Lung Fei Lee

This important collection brings together leading econometricians to discuss recent advances in the areas of the econometrics of panel data, ...

Wolfgang Härdle

Applied Nonparametric Regression is the first book to bring together in one place the techniques for regression curve smoothing involving ...

Edited by Helmut Lütkepohl, Markus Krätzig

Time series econometrics is used for example for predicting future developments of variables of interest such as economic growth, stock ...

Gary Koop, Dale J. Poirier, Justin L. Tobias

A new book in the Econometric Exercises series, this volume contains questions and answers to provide students with useful practice, ...

Kenneth E. Train

Jean-Pierre Florens, Velayoudom Marimoutou, Anne Peguin-Feissolle, Translated by Josef Perktold, Marine Carrasco

By focusing on the main statistical tools of econometrics, the book covers the majority of modern econometric methodology and unifies ...

Christian Gourieroux, Translated by Paul B. Klassen

This textbook introduces students progressively to various aspects of qualitative models and assumes a knowledge of basic principles of statistics ...

Halbert White

This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods ...

Michael Clements, David Hendry

David Hendry is one of the world’s leading econometricians, and in this major new work he and Michael Clements provide ...

Andrew C. Harvey

In this book Andrew Harvey provides, for the first time, a synthesis of concepts and materials which ordinarily appear separately ...

Piet de Jong, Gillian Z. Heller

This is the only book that explains Generalized linear models (GLMs) specifically for actuaries. Using real insurance data sets, it ...

Edited by Laszlo Matyas

The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to ...

David C. M. Dickson

Based on the author’s experience of teaching final-year actuarial students in Britain and Australia, this book focuses on the two ...

Edward Greenberg

Introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the longstanding frequentist approach ...

Herman J. Bierens

This book is intended to be used in a first-semester PhD level course in econometrics. However, because it contains much ...

Chris Brooks

This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and ...

Chris Brooks

Methods and Applications

A. Colin Cameron, Pravin K. Trivedi

Modern statistical analysis of economics data consists of microeconometrics (cross-section data and panel data analysis), macroeconometrics (time series analysis), and ...

Philip Hans Franses, Dick van Dijk

The most up-to-date and accessible guide to one of the fastest growing areas in financial analysis by two of ...

Theory, Methods and Evaluation

Yiu-Kuen Tse

Adrian Pagan, Aman Ullah

This is a systematic examination of the vast literature on nonparametric and semiparametric statistics and econometrics produced over the last ...

Models for Measuring Aggregate Change and Difference

Bert M. Balk

Econometric Modeling with Observational Data

Aris Spanos

This major new textbook is intended for students taking introductory courses in probability theory and statistical inference. The primary objective ...

Philip Hans Franses, Richard Paap

This book presents the most important and practically relevant quantitative models for marketing research. Each model is presented in detail ...

A. Colin Cameron, Pravin K. Trivedi

Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as ...

Edward W. Frees

A Practical Guide to Quantitative Research in Economics, Finance and Development Studies

Michelle C. Baddeley, Diana V. Barrowclough

Statistics and econometrics can be intimidating subjects but Running Regressions is straightforward, useful and fun. Each chapter introduces an interesting ...

Adonis Yatchew

This book provides simple and flexible (nonparametric) techniques for analyzing regression data. It includes a series of empirical examples including ...

Theory and Applications

Edited by Andrew Harvey, Siem Jan Koopman, Neil Shephard

This volume offers a broad overview of the state-of-the-art developments in the theory and applications of state space modeling. With ...

Arnold Zellner

Subal C. Kumbhakar, C. A. Knox Lovell

This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the ...

Eric Ghysels, Denise R. Osborn

Economic and financial time series feature important seasonal fluctuations. Despite their regular and predictable patterns over the year, month or ...

Tony Lancaster

This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell ...

Terence C. Mills, Raphael N. Markellos

The third edition of this best-selling graduate textbook contains a wealth of new material reflecting the developments of the last ...

Itzhak Gilboa

From Statistical Physics to Risk Management

Jean-Philippe Bouchaud, Marc Potters

Risk control and derivative pricing are major concerns to financial institutions. The need for adequate statistical tools to measure and ...

Christian Gourieroux, Alain Monfort, Translated by Giampiero Gallo

In this book Christian Gourieroux and Alain Monfort provide an up-to-date and comprehensive analysis of modern time series econometrics. They ...

How to Choose and Construct Models for the Life Sciences

C. Patrick Doncaster, Andrew J. H. Davey

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. Aimed at researchers of postgraduate ...

Eugenia Kalnay

This comprehensive text and reference work on numerical weather prediction covers for the first time, not only methods for numerical ...

Michael A. McCarthy

Statistical analysis of data and models is fundamentally important in ecology. There is increasing interest in using Bayesian methods in ...

A User's Guide to Path Analysis, Structural Equations and Causal Inference

Bill Shipley

Written in a jargon-free, conversational style, this book explores the relationship between correlation and causation. It presents a series of ...

Edited by Frederick Burkhardt

Charles Darwin’s voyage on the HMS Beagle is a gripping adventure story, and a turning point in the making of ...

A Handbook

Edited by William J. Sutherland

Almost all work in ecology or conservation requires a census of the population. In this book, experts from around the ...

Selected Letters of Charles Darwin 1860–1870

Edited by Frederick Burkhardt, Alison M. Pearn, Samantha Evans

Charles Darwin is perhaps the world's best known scientist, and one whose theories remain both influential and controversial. This selection ...

Gerry P. Quinn, Michael J. Keough

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting ...

Selected Letters of Charles Darwin, 1822–1859. Anniversary edition.

Edited by Frederick Burkhardt

Charles Darwin is perhaps the world's best known scientist, and one whose theories remain both influential and controversial. This ...

A Practical Guide for the Biological, Medical and Social Sciences

R. Barker Bausell, Yu-Fang Li

Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment ...

Jonathan Bart, Michael A. Fligner, William I. Notz

Behavioral ecology research raises special statistical problems that are generally not covered in introductory statistics courses. As a result, graduate ...

A Guide for Ecologists

Marie-Josée Fortin, Mark R. T. Dale

The number and variety of statistical techniques for spatial analysis of ecological data are burgeoning and many ecologists are unfamiliar ...

Theory and Practice

Robert Haining

Spatial data are data about the world where we record both the attribute of interest, and its location on the ...

Robert Haining

This book describes methods available for the analysis of spatial data. These include data description, map interpolation, and exploratory and ...

James B. Grace

There is growing recognition that ecological systems are so complex that major advances will only come as techniques are developed ...

Betting on Religion, Games, Wall Street

Reuven Brenner, Gabrielle A. Brenner, Aaron Brown

A World of Chance shows how some societies created more chances for their members than others and, as a result, ...

Ian Hacking

This is an introductory textbook on probability and induction written by one of the world’s foremost philosophers of science. ...

Dennis V. Lindley, William F. Scott

William Playfair, Introduction by Howard Wainer, Ian Spence

A scientific revolution began at the end of the 18th century with the invention and popularization of the graphic display ...

The Real Thing

Richard Jeffrey

This book offers a concise survey of basic probability theory from a thoroughly subjective point of view whereby probability is ...

B. S. Everitt

If you use statistics and need easy access to simple, reliable definitions and explanations of modern statistical and statistics-related concepts, ...

A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference

Ian Hacking

Historical records show that there was no real concept of probability in Europe before the mid-seventeenth century, although the use ...

Ian Hacking

In this important new study Ian Hacking continues the enquiry into the origins and development of certain characteristic modes of ...

For Beginners and Experienced Users

Brian R. Hunt, Ronald L. Lipsman, Jonathan M. Rosenberg, Kevin R. Coombes, John E. Osborn, Garrett J. Stuck

This is a short, focused introduction to MATLAB, a comprehensive software system for mathematical and technical computing. It contains concise ...

The Art of Scientific Computing

William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

The third edition of Numerical Recipes has wider coverage than ever before, with two new chapters, and many other ...

The Art of Scientific Computing

William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

The Numerical Recipes Third Edition Source Code CDROM contains the complete source code in C++ for Numerical Recipes Third Edition, ...

The Art of Scientific Computing

William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling

This is the revised and expanded second edition of the hugely popular Numerical Recipes: the Art of Scientific Computing. The ...

The Art of Scientific Computing

William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

For the latest methods in scientific computing, this book/CD-ROM gives you the complete Numerical Recipes Third Edition. Written in C++, ...

How to Think Like a Computer Scientist

Allen B. Downey

A Guide to Good Style

Suely Oliveira, David E. Stewart

The core of scientific computing is designing, writing, testing, debugging and modifying numerical software. Scientists, engineers and computer scientists need ...

Using the GUM (Guide to the Expression of Uncertainty in Measurement)

L. Kirkup, R. B. Frenkel

Students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces the ...

A Comparative Approach with Mathematica Support

P. C. Gregory

Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book ...

A Least Squares Approach

John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to make predictions ...

The Multiscale Approach

Jean-Luc Starck, Fionn D. Murtagh, Albert Bijaoui

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This ...

Applications in Hydrogeology

P. K. Kitanidis

Introduction to Geostatistics presents practical techniques for engineers and applied geophysicists who routinely encounter interpolation and estimation problems when analysing ...

Neural Networks and Kernels

William W. Hsieh

Holger Kantz, Thomas Schreiber

The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear ...

The Logic of Science

E. T. Jaynes, Edited by G. Larry Bretthorst

This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are ...

Tirupathi R. Chandrupatla

H. Vincent Poor, Olympia Hadjiliadis

Donald B. Percival, Andrew T. Walden

This book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness ...

N. I. Fisher

Angles or two-dimensional orientations are found throughout science; in biology, geography, geophysics, medicine, meteorology and oceanography. Examples include departure directions ...

From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

Mark D. McDonnell, Nigel G. Stocks, Charles E. M. Pearce, Derek Abbott

Stochastic resonance has been observed in many forms of neural systems, and has been hotly debated by scientists for nearly ...

Paul Henderson, Gideon M. Henderson

David Pollard

Rigorous probabilistic arguments, built on the foundation of measure theory introduced seventy years ago by Kolmogorov, have invaded many fields. ...

Greg W. Anderson, Alice Guionnet, Ofer Zeitouni

Heavy-Tailed Distributions

A. A. Borovkov, K. A. Borovkov

‘Heavy-tailed' distributions are ubiquitous: they describe claim sizes in insurance, losses in finance, sizes of files sent over the Internet ...

Variation, Growth, and Extinction of Populations

Patsy Haccou, Peter Jagers, Vladimir A. Vatutin

Branching processes allow us to make predictions about extinction risks and the development of population composition, and also uncovers aspects ...

David Stirzaker

Now available in a fully revised and updated new edition, this well established textbook provides a straightforward introduction to the ...

T. W. Körner

For physicists, engineers and mathematicians, Fourier analysis constitutes a tool of great usefulness. A wide variety of the techniques and ...

A Guided Tour from Measure Theory to Random Processes, via Conditioning

L. Chaumont, M. Yor

Derived from extensive teaching experience in Paris, this book presents around 100 exercises in probability. In each case, the authors ...

T. W. Körner

Fourier analysis is a subject that was born in physics but grew up in mathematics. Now it is part of ...

G. H. Hardy, J. E. Littlewood, G. Pólya

Enzo Olivieri, Maria Eulália Vares

The book provides a general introduction to the theory of large deviations and a wide overview of the metastable behaviour ...

David Applebaum

Roger A. Horn, Charles R. Johnson

Theory and Applications

Peter K. Friz, Nicolas B. Victoir

Bela Bollobás, Oliver Riordan

Percolation theory was initiated as a mathematical framework for studying random physical processes. It has proved to be remarkably rich, ...

An Integrated Approach

David Applebaum

An updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on ...

A Beginner's Guide

David Stirzaker

This is a simple and concise introduction to probability theory. Self-contained and accessible, it is written in an informal style ...

Yuri Suhov, Mark Kelbert

This subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well ...

Yuri Suhov, Mark Kelbert

Following on from the success of Volume 1 of Probability and Statistics by Example: Basic Probability and Statistics, the authors ...

David Williams

Probability theory is nowadays applied in a huge variety of fields from science and engineering to economics and politics. This ...

R. M. Dudley

This classic graduate textbook offers a clear exposition of modern probability theory and of the interplay between the properties of ...

A Mathematical Perspective

Anton Bovier

Our mathematical understanding of the statistical mechanics of disordered systems is going through a period of stunning progress. This self-contained ...

An Introduction to the Art of Mathematical Inequalities

J. Michael Steele

This lively, problem-oriented text, accessible to anyone who knows calculus, helps readers master the fundamental mathematical inequalities. With the Cauchy-Schwarz ...

Edited by Jochen Blath, Peter Mörters, Michael Scheutzow

R. M. Dudley

The central limit theorem shows how, when samples become large, the probability laws of large numbers and related facts are ...

A Course in Probability and Statistics

David Williams

Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look ...

Edited by Andrew Gelman, Jeronimo Cortina

Social science students become experts in their own fields but often don’t learn much about the other social sciences. Derived ...

From Foundations to Applications

Edited by Ward Edwards, Ralph F. Miles Jr., Detlof von Winterfeldt

By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains ...

Edited by Jacques A. Hagenaars, Allan L. McCutcheon

A Correlational Approach

Robert Rosenthal, Ralph L. Rosnow, Donald B. Rubin

Contrasts are statistical procedures for asking focused questions of data. Researchers, teachers of research methods and graduate students will be ...

Methods and Principles for Social Research

Stephen L. Morgan, Christopher Winship

The essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political ...

Lawrence S. Meyers, Glenn Gamst, A. J. Guarino

Descriptive, Normative, and Prescriptive Interactions

Edited by David E. Bell, Howard Raiffa, Amos Tversky

Explaining the Unexpected

Donald G. Saari

This highly accessible book offers undergraduates, graduates and professionals a new, different interpretation and resolution of Arrow’s and Sen’s theorems. ...

Mick P. Couper

n/a

Social Choice Analysis

Donald G. Saari

New Methodological Strategies

Edited by Gary King, Ori Rosen, Martin A. Tanner

A diverse group of scholars surveys the latest strategies for solving ecological inference problems, drawing upon the recent explosion of ...

A Guide for Social Scientists

Janet M. Box-Steffensmeier, Bradford S. Jones

Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social ...

Wouter de Nooy, Andrej Mrvar, Vladimir Batagelj

This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). ...

The Psychology of Intuitive Judgment

Edited by Thomas Gilovich, Dale Griffin, Daniel Kahneman

Judgment pervades human experience. Do I have a strong enough case to go to trial? Will the Fed change interest ...

The Living Questionnaire

Hanneke Houtkoop-Steenstra

This is the first study of its kind to investigate in detail the interaction between interviewers and respondents in standardised ...

Edited by Peter J. Carrington, John Scott, Stanley Wasserman

This book presents the most important developments in quantitative models and methods for analyzing social network data that have appeared ...

Mathematics Applied to the Social World

T. W. Körner

Methods and Applications

Stanley Wasserman, Katherine Faust

Social network analysis, which focuses on relationships among social entities, is used widely in the social and behavioral sciences, as ...

Analysis and Applications

Jordan J. Louviere, David A. Hensher, Joffre D. Swait, With contributions by Wiktor Adamowicz

This guide to analysing consumer choice behaviour concentrates on stated preference (SP) methods - placing decision makers in controlled experiments ...

An Integrative Approach

Sharon Lawner Weinberg, Sarah Knapp Abramowitz

Updated to be consistent with SPSS version 15, and a new topic on Fisher’s Exact Text, this second edition includes ...

Non-Simple-Random Samples and Weighted Data

Sergey Dorofeev, Peter Grant

What they didn’t tell you in your stats lectures … Samples used in social and commercial surveys are usually less ...

Howard Wainer, Eric T. Bradlow, Xiaohui Wang

As the inferences that are drawn from test scores have become more specific, tests and their scoring theories have evolved ...

Paul M. Kellstedt, Guy D. Whitten

Roger Tourangeau, Lance J. Rips, Kenneth Rasinski

Drawing on classic and modern research from cognitive psychology, social psychology, and survey methodology, this book examines the psychological roots ...

Revisiting the Divergence of the NCVS and the UCR

Edited by James P. Lynch, Lynn A. Addington

In Understanding Crime Statistics, Lynch and Addington draw on the work of leading experts on U.S. crime statistics to provide ...

But Need to Know for Graduate School

Thomas A. Garrity, Illustrated by Lori Pedersen

Beginning graduate students in mathematics and other quantitative subjects are expected to have a daunting breadth of mathematical knowledge. This ...

Beth Luey

In the fourth edition of this widely recommended book, Beth Luey guides authors through every stage of publication. This edition ...

Martin Gardner's First Book of Mathematical Puzzles and Games

Martin Gardner

A Companion to Undergraduate Mathematics

Kevin Houston

Martin Gardner's Mathematical Diversions

Martin Gardner

Martin Gardner's New Mathematical Diversions

Martin Gardner

A Step-by-Step Guide for the Biological and Medical Sciences

Janice R. Matthews, Robert W. Matthews

Providing detailed, step-by-step advice, this user-friendly guide will help students and researchers communicate their work effectively through published literature. The ...

Coffee Time in Memphis

Bela Bollobás

Can a Christian escape from a lion? How quickly can a rumour spread? Recreational mathematics is full of frivolous questions ...

Leon Harkleroad

Mathematics has been used for centuries to describe, analyze, and create music. In this book, Leon Harkleroad explores the mathematics ...

T. W. Körner

What is the connection between the outbreak of cholera in Victorian Soho, the Battle of the Atlantic, African Eve and ...

Natural Sciences, Social Sciences, and the Humanities in the 21st Century

Jerome Kagan