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A Statistical Model

Author: Stephen E. Fienberg
Publisher: Springer Science & Business Media
ISBN: 1461233844
Size: 70.65 MB
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A large number of Mostellar's friends, colleagues, collaborators, and former students have contributed to the preparation of this volume in honor of his 70th birthday. It provides a critical assessment of Mosteller's professional and research contributions to the field of statistics and its applications.

Selected Papers Of Frederick Mosteller

Author: Stephen E. Fienberg
Publisher: Springer Science & Business Media
ISBN: 0387449566
Size: 46.59 MB
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One of the best known statisticians of the 20th century, Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume collects 40 of his most original and influential papers, capturing the variety and depth of his writings. It is hoped that sharing these writings with a new generation of researchers will inspire them to build upon his insights and efforts.

Theory Of Statistics

Author: Mark J. Schervish
Publisher: Springer Science & Business Media
ISBN: 1461242509
Size: 22.23 MB
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The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.

Asymptotic Theory Of Statistical Inference For Time Series

Author: Masanobu Taniguchi
Publisher: Springer Science & Business Media
ISBN: 146121162X
Size: 32.98 MB
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The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA processes. A wide variety of stochastic processes, including non-Gaussian linear processes, long-memory processes, nonlinear processes, non-ergodic processes and diffusion processes are described. The authors discuss estimation and testing theory and many other relevant statistical methods and techniques.

Annotated Readings In The History Of Statistics

Author: H.A. David
Publisher: Springer Science & Business Media
ISBN: 1475735006
Size: 70.30 MB
Format: PDF, ePub, Docs
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This book provides a selection of pioneering papers or extracts ranging from Pascal (1654) to R.A. Fisher (1930). The editors'annotations put the articles in perspective for the modern reader. A special feature of the book is the large number of translations, nearly all made by the authors. There are several reasons for studying the history of statistics: intrinsic interest in how the field of statistics developed, learning from often brilliant ideas and not reinventing the wheel, and livening up general courses in statistics by reference to important contributors.

Test Equating

Author: Michael J. Kolen
Publisher: Copernicus
ISBN: 9780387944869
Size: 29.73 MB
Format: PDF, Kindle
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Many researchers in the psychology and statistical communities have paid increasing attention to test equating as issues of using multiple test forms have arisen and in response to criticisms of traditional testing techniques. This text provides a practically-oriented introduction to test equating, covering discussions of the most frequently used equating methodologies and many of the practical issues involved. The main themes covered bu the book are: the purposes and assumptions of equating; classical equating methods; item response theory equating methods; standard errors of equating; and practical issues in equating.