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Basic Concepts of Probability and Statistics

Basic Concepts of Probability and Statistics

2nd Edition

£45.99

textbook

Part of Classics in Applied Mathematics

  • Date Published: December 2004
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Paperback
  • isbn: 9780898715750

£ 45.99
Paperback

This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
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  • Basic Concepts of Probability and Statistics provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background. It is the only book at this level to introduce readers to modern concepts of hypothesis testing and estimation, covering basic concepts of finite, discrete models of probability and elementary statistical methods. Although published in 1970, it maintains a modern outlook, especially with such topics as models and model building, simple random and stratified survey sampling, experimental design, and nonparametric tests and its discussion of power. The book covers a wide range of applications in manufacturing, biology, and social science, including demographics, political science, and sociology. Each section offers extensive problem sets, with selected answers provided. Among the topics covered that readers may not expect in an elementary text are optimal design and a statement and proof of the fundamental (Neyman-Pearson) lemma for hypothesis testing.

    • Intended for high school and undergraduate students as well as others who want a mathematically rigorous introduction to probability and statistics that does not require calculus
    • Well suited to supplement high school and college courses on discrete mathematics and will appeal especially to instructors teaching statistics courses within mathematics departments
    • Unexpected topics covered are optimal design and a statement and proof of the fundamental (Neyman-Pearson) lemma for hypothesis testing; each section offers extensive problem sets
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    Product details

    • Edition: 2nd Edition
    • Date Published: December 2004
    • format: Paperback
    • isbn: 9780898715750
    • length: 460 pages
    • dimensions: 228 x 151 x 22 mm
    • weight: 0.637kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    Preface
    Part I. Probability:
    1. Probability models
    2. Sampling
    3. Product models
    4. Conditional probability
    5. Random variables
    6. Special distributions
    7. Multivariate distributions
    Part II. Statistics. Introduction to Statistics:
    8. Estimation
    9. Estimation in measurement and sampling models
    10. Optimum methods of estimation
    11. Tests of significance
    12. Tests for comparative experiments
    13. Concept of power
    Tables
    Selected answers to problems
    Index
    Example index.

  • Authors

    J. L. Hodges

    E. L. Lehmann, University of California, Berkeley

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