Basic Concepts Of Probability And Statistics (Classics in Applied Mathematics)
Editorial Reviews
Book Description
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 in its emphasis on models and model building and also by its coverage of topics such as 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 at the back of the book. Among the topics covered that readers may not expect in an elementary text are optimal design and a statement and proof of the fundamental (NeymanPearson) lemma for hypothesis testing.
About the Author
J. L. Hodges, Jr. (19222000), formerly of the University of California at Berkeley, pioneered nonparametric density estimation. He also invented the Hodges bivariate sign test and, with Lehmann, the HodgesLehmann estimator.
E. L. Lehmann, a professor emeritus of the University of California at Berkeley, is a member of both the American Academy of Arts and Sciences and the National Academy of Science.
Basic Concepts Of Probability And Statistics (Classics in Applied Mathematics),Joseph Lawson Hodges,E. L. Lehmann,J. L. Hodges,Society for Industrial and Applied Mathematic,089871575X,Applied,Mathematical statistics,Mathematics,Probabilities,Probability & Statistics - General,Science/Mathematics
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