A reprinting of this classic 1975 text with a new Epilogue that addresses developments in the field made during the last twenty years.

Nonparametrics: Statistical Methods Based on Ranks

Lehmann, E.L.

Health, Fitness & Dieting

McGraw=Hill

Science & Math

D'Abrera, H. J. M.

Mathematics

PRENTICE/HALL

An account of point estimation in Euclidean sample space, this text covers numerous applications to exponential and group families and offers a systematic discussion of the rich body of statistical problems relevant to these subjects. Together with the authors' "Testing Statistical Hypotheses", this text is designed for graduate-level courses in the theory and applications of mathematical statistics.

Theory of Point Estimation

Springer

Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level making it accessible to most readers.

Elements of Large-Sample Theory (Springer Texts in Statistics)

Testing Statistical Hypotheses (WADSWORTH BROOKS/COLE SERIES IN STATISTICS)

Chapman & Hall

This classic textbook, now available from Springer, summarizes developments in the field of hypotheses testing. Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures. This book is an essential reference for any graduate student in statistics.

Testing Statistical Hypotheses (Wiley Publication in Mathematical Statistics)

John Wiley&Sons

This book should be of interest to graduates on courses in the theory and applications of mathematical statistics.

Wadsworth & Brooks/Cole Advanced Books & Software

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.

Testing statistical hypotheses (The Wadsworth & Brooks/Cole statistics/probability series)

BRAND NEW FIRST EDITION hardcover, lacking dust jacket, clean NEW text, free tracking number, solid binding, NO remainders NOT ex-library, smoke free; slight gentle shelfwear / storage-wear; WE SHIP FAST. Carefully packed and quickly sent. 201905518 Probability: Probability Models, Sampling, Product Models, Conditional Probability, Random Variables, Special Distributions, Multivariate Distributions. Statistics: Estimation, Estimation in Measurement and Sampling Models, Optimum Methods of Estimation, Tests of Significance, Tests for Comparative Experiments, The Concept of Power, Tables, more. Please choose Priority / Expedited shipping for faster delivery. (No shipping to Mexico, Brazil, Argentina or Italy.)

Basic Concepts of Probability and Statistics

Hodges, Joseph Lawson

Holden-Day

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.

Basic Concepts of Probability and Statistics (Classics in Applied Mathematics, Series Number 48)

Hodges Jr, J. L.

Society for Industrial and Applied Mathematics

See the best price to sell, buy, or rent books by Lehmann, E.L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Lehmann, E.L.

See the best price to sell, buy, or rent books by Lehmann, E.L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Nonparametrics: Statistical Methods Based on Ranks

Nonparametrics: Statistical Methods Based on Ranks

Theory of Point Estimation

Elements of Large-Sample Theory (Springer Texts in Statistics)

Testing Statistical Hypotheses (WADSWORTH BROOKS/COLE SERIES IN STATISTICS)

Testing Statistical Hypotheses (Wiley Publication in Mathematical Statistics)

Theory of Point Estimation

Testing statistical hypotheses (The Wadsworth & Brooks/Cole statistics/probability series)

Basic Concepts of Probability and Statistics

Basic Concepts of Probability and Statistics (Classics in Applied Mathematics, Series Number 48)