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Selected Works of E. L. Lehmann
  • Language: en
  • Pages: 1103

Selected Works of E. L. Lehmann

These volumes present a selection of Erich L. Lehmann’s monumental contributions to Statistics. These works are multifaceted. His early work included fundamental contributions to hypothesis testing, theory of point estimation, and more generally to decision theory. His work in Nonparametric Statistics was groundbreaking. His fundamental contributions in this area include results that came to assuage the anxiety of statisticians that were skeptical of nonparametric methodologies, and his work on concepts of dependence has created a large literature. The two volumes are divided into chapters of related works. Invited contributors have critiqued the papers in each chapter, and the reprinted group of papers follows each commentary. A complete bibliography that contains links to recorded talks by Erich Lehmann – and which are freely accessible to the public – and a list of Ph.D. students are also included. These volumes belong in every statistician’s personal collection and are a required holding for any institutional library.

Elements of Large-Sample Theory
  • Language: en
  • Pages: 640

Elements of Large-Sample Theory

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.

Selected Works of E. L. Lehmann
  • Language: en
  • Pages: 1160

Selected Works of E. L. Lehmann

  • Type: Book
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  • Published: 2012-01-21
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  • Publisher: Unknown

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Theory of Point Estimation
  • Language: en
  • Pages: 610

Theory of Point Estimation

This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general style of the first edition. All of the topics are updated, while an entirely new chapter on Bayesian and hierarchical Bayesian approaches is provided, and there is much new material on simultaneous estimation. Each chapter concludes with a Notes section which contains suggestions for further study. This is a companion volume to the second edition of Lehmann's "Testing Statistical Hypotheses".

Testing Statistical Hypotheses
  • Language: en
  • Pages: 600

Testing Statistical Hypotheses

This classic work, 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
  • Language: en
  • Pages: 795

Testing Statistical Hypotheses

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.

An Introduction to Probability and Statistics
  • Language: en
  • Pages: 722

An Introduction to Probability and Statistics

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize th...

A Festschrift For Erich L. Lehmann
  • Language: en
  • Pages: 478

A Festschrift For Erich L. Lehmann

  • Type: Book
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  • Published: 1982-02-01
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  • Publisher: CRC Press

A collection of essays and articles In honour of Erich. L. Lehmann's sixty-fifth birthday. Including works on Vector Autoregressive models, Bootstrapping Regression Models, Bootstrapping Regression Models and Estimation of the Mean or Total when Measurement Protocols.

Basic Concepts of Probability and Statistics
  • Language: en
  • Pages: 450

Basic Concepts of Probability and Statistics

  • Type: Book
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  • Published: 2004-12-01
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  • Publisher: SIAM

This book provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background.

Basic Concepts of Probability and Statistics
  • Language: en
  • Pages: 400

Basic Concepts of Probability and Statistics

  • Type: Book
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  • Published: 1966
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  • Publisher: Unknown

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