Selected Works of E. L. Lehmann
Selected Works of E. L. Lehmann

Author: Javier Rojo

Publisher: Springer Science & Business Media

Published: 2012-01-16

Total Pages: 1103

ISBN-13: 1461414113

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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
Elements of Large-Sample Theory

Author: E.L. Lehmann

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 640

ISBN-13: 0387227296

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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.

Theory of Point Estimation
Theory of Point Estimation

Author: Erich L. Lehmann

Publisher: Springer Science & Business Media

Published: 2006-05-02

Total Pages: 610

ISBN-13: 0387227288

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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".

Fisher, Neyman, and the Creation of Classical Statistics
Fisher, Neyman, and the Creation of Classical Statistics

Author: Erich L. Lehmann

Publisher: Springer Science & Business Media

Published: 2011-07-25

Total Pages: 123

ISBN-13: 1441995005

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Classical statistical theory—hypothesis testing, estimation, and the design of experiments and sample surveys—is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The two men would not be pleased to see their names linked in this way, since throughout most of their working lives they detested each other. Nevertheless, they worked on the same problems, and through their combined efforts created a new discipline. This new book by E.L. Lehmann, himself a student of Neyman’s, explores the relationship between Neyman and Fisher, as well as their interactions with other influential statisticians, and the statistical history they helped create together. Lehmann uses direct correspondence and original papers to recreate an historical account of the creation of the Neyman-Pearson Theory as well as Fisher’s dissent, and other important statistical theories.

Postdramatic Theatre
Postdramatic Theatre

Author: Hans-Thies Lehmann

Publisher: Routledge

Published: 2006-09-27

Total Pages: 225

ISBN-13: 1134496834

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Newly adapted for the Anglophone reader, this is an excellent translation of Hans-Thies Lehmann’s groundbreaking study of the new theatre forms that have developed since the late 1960s, which has become a key reference point in international discussions of contemporary theatre. In looking at the developments since the late 1960s, Lehmann considers them in relation to dramatic theory and theatre history, as an inventive response to the emergence of new technologies, and as an historical shift from a text-based culture to a new media age of image and sound. Engaging with theoreticians of 'drama' from Aristotle and Brecht, to Barthes and Schechner, the book analyzes the work of recent experimental theatre practitioners such as Robert Wilson, Tadeusz Kantor, Heiner Müller, the Wooster Group, Needcompany and Societas Raffaello Sanzio. Illustrated by a wealth of practical examples, and with an introduction by Karen Jürs-Munby providing useful theoretical and artistic contexts for the book, Postdramatic Theatre is an historical survey expertly combined with a unique theoretical approach which guides the reader through this new theatre landscape.

All of Statistics
All of Statistics

Author: Larry Wasserman

Publisher: Springer Science & Business Media

Published: 2013-12-11

Total Pages: 446

ISBN-13: 0387217363

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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Monte Carlo Statistical Methods
Monte Carlo Statistical Methods

Author: Christian Robert

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 670

ISBN-13: 1475741456

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We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.

Statistical Models
Statistical Models

Author: David A. Freedman

Publisher: Cambridge University Press

Published: 2009-04-27

Total Pages: 459

ISBN-13: 1139477315

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This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

Nonparametrics
Nonparametrics

Author: Erich Leo Lehmann

Publisher: McGraw-Hill Companies

Published: 1975

Total Pages: 486

ISBN-13:

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Rank tests for comparing two treatments; Comparing two treatments or attributes in a population model; Blocked comparisons for two treatments; Paired comparisons in a population model and the one-sample problem; The comparison of more than two treatments; Randomized complete blocks; Tests of randomness and independence.