Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions

A. A. Borovkov

This book focuses on the asymptotic behaviour of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions.

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Probability and Statistics by Example

Yuri Suhov

Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature.

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Probability and Statistics by Example

Yuri Suhov

Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature.

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Stochastic Partial Differential Equations with Lévy Noise

S. Peszat, J. Zabczyk

Recent years have seen an explosion of interest in stochastic partial differential equations where the driving noise is discontinuous. In this comprehensive monograph, two leading experts detail the evolution equation approach to their solution.

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Pattern Recognition and Neural Networks

Brian D. Ripley

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks.

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A First Course in Statistical Programming with R

W. John Braun, Duncan J. Murdoch

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements.

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A First Course in Statistical Programming with R

W. John Braun, Duncan J. Murdoch

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements.

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Spline Functions: Basic Theory

Larry Schumaker

This classic work continues to offer a comprehensive treatment of the theory of univariate and tensor-product splines. It will be of interest to researchers and students working in applied analysis, numerical analysis, computer science, and engineering.

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Negative Binomial Regression

Jospeh M. Hilbe

At last - a book devoted to the negative binomial model and its many variations. Every model currently offered in commercial statistical software packages is discussed in detail - how each is derived, how each resolves a distributional problem, and numerous examples of their application.

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Understanding Probability

Henk Tijms

In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way.

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