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On the Foundations of Statistical Inference. II
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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ON THE ANALYSIS OF FACTORIAL EXPERIMENTS WITHOUT REPLICATION
Published by Technometrics, 1959
Magazine / Periodical
Paperback. Condition: Very Good. Vol 1, No 4, pp. 343-357, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, else VG.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Two Expository Notes on Statistical Inference
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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The Anomalous Concept of Statistical Evidence: Axioms, Interpretations, and Elementary Exposition (Classic Reprint)
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On the Foundations of Statistical Inference, I Binary Experiments Classic Reprint
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An Unified Theory of Estimation, I Revised and Extended, February 1960 Classic Reprint
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Image World : Art and Media Culture
Language: English
Published by Whitney Museum of American Art New York, NY, 1989
ISBN 10: 0874270677 ISBN 13: 9780874270679
Seller: Specific Object / David Platzker, New York, NY, U.S.A.
Seller rating 5 out of 5 stars
216 pp.; 26.6 x 21.5 cm.; sewn bound; black-and-white & color; edition size unknown; unsigned and unnumbered; offset-printed Exhibition catalogue published in conjunction with show held November 8, 1989 - February 18, 1990, with public projects held November 22 - December 31, 1989. Texts by Marvin Heiferman, Lisa Phillips, and John G. Hanhardt. SArtists include Vito Acconci, Dennis Adams, Laurie Anderson, John Baldessari, William Beckley, Gretchen Bender, Wallace Berman, Ashley Bickerton, Dara Birnbaum, Nayland Blake, Barbara Bloom, Troy Brauntuch, Chris Burden, Nancy Burson, David Kramlich, Peter Campus, Sarah Charlesworth, John Clem Clarke, Clegg and Guttmann, Chuck Close, Bruce Conner, Robert Cumming, Fluxus Collective, George Brecht, Alison Knowles, Robert Watts, George Maciunas, Jack Goldstein, Dan Graham, Gran Fury, Hans Haacke, Robert Heinecken, Jenny Holzer, Larry Johnson, Edward Kienholz, Carole Ann Klonarides, Silvia Kolbowski, Jeff Koons, Joseph Kosuth, Barbara Kruger, Annette Lemieux, Les Levine, Sherrie Levine, Roy Lichtenstein, Robert Longo, Frank Majore, Allan McCollum, Matt Mullican, Peter Nagy, Bruce Nauman, Nam June Paik, Richard Prince, Robert Rauschenberg, David Robbins, James Rosenquist, Edward Ruscha, David Salle, Richard Serra, Cindy Sherman, Laurie Simmons, Lorna Simpson, Alexis Smith, Mark Tansey, Bill Viola, Andy Warhol, Oliver Wasow, William Wegman, Tom Wesselmann, and Krzysztof Wodiczko. Includes image world chronology, selected bibliography, films and videotapes in the exhibition, and an exhibition checklist. Very Good / Fine. Light rubbing of cover edges and yellowing of page edges. Contents clean and unmarked. Due to large size and weight additional shipping charges will be required for international orders.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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On the Foundations of Statistical Inference. II
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Two Expository Notes on Statistical Inference Generalized Maximum Likelihood Methods With Exact Justifications on Two Levels Confidence Curves An Statistical Hypotheses Classic Reprint
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The Anomalous Concept of Statistical Evidence: Axioms, Interpretations, and Elementary Exposition
Language: English
Published by Legare Street Press 2022-10, 2022
ISBN 10: 1018169091 ISBN 13: 9781018169095
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On the Foundations of Statistical Inference. II
Language: English
Published by Legare Street Press 2022-10, 2022
ISBN 10: 1017738254 ISBN 13: 9781017738254
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The Anomalous Concept of Statistical Evidence Axioms, Interpretations, and Elementary Exposition Classic Reprint
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On the Foundations of Statistical Inference. II
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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On the Foundations of Statistical Inference, I: Binary Experiments (Classic Reprint)
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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An Unified Theory of Estimation, I: Revised and Extended, February 1960 (Classic Reprint)
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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On the Foundations of Statistical Inference. II
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 34.88
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The Anomalous Concept of Statistical Evidence: Axioms, Interpretations, and Elementary Exposition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback. Condition: New. Print on Demand. This book merges statistical estimation and inductive reasoning, creating a comprehensive guide to interpreting statistical data. The research presented in this book both builds on the established foundations of statistical theory and expands on them to offer new and approachable techniques of data estimation. The author presents new ways to assess and compare estimators, offering practical techniques of statistical inference and probing deeper into the inherent relationship between likelihood functions and efficient statistical inference. The author presents generalized maximum likelihood methods with exact justifications on two levels, one theoretical and one practical, and solves the problems of statistical estimation using an intuitive approach based on score functions. In addition to these advancements, this book provides a comprehensive treatment of confidence curves, a technique that incorporates the strengths of point estimation, confidence limits, and confidence intervals, creating an omnibus technique that streamlines and expands the utility of statistical inference. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
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Add to basketPaperback. Condition: New. Print on Demand. This book delves into the complex world of statistical evidence, exploring its underlying axioms and the various interpretations that have been proposed throughout history. The author unpacks the fundamental concepts of statistical evidence, examining how they relate to scientific research and the process of drawing conclusions from data. The book scrutinizes the various interpretations of statistical evidence, including the likelihood axiom and the Neyman-Pearson approach, revealing inherent inconsistencies and limitations that have sparked debate among statisticians and scientists. Through a historical lens, the author traces the evolution of statistical inference theories and highlights the crucial role that the quest for a precise and adequate concept of statistical evidence has played in shaping these developments. This book offers a critical examination of the foundations of statistical inference, providing valuable insights into the challenges and complexities surrounding the interpretation of statistical evidence in scientific research. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
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Statistical Theories of Mental Test Scores
Language: English
Published by Information Age Publishing, 2008
ISBN 10: 1593119348 ISBN 13: 9781593119348
Condition: New.
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Add to basketPaperback. Condition: New. Print on Demand. This book explores how statistical inference problems can be solved directly from the likelihood functions of binary experiments, providing interpretations of their numerical values in terms of probabilities of committing various types of errors. It establishes the likelihood function as the primary, sufficient basis for making inferences and presents a novel analysis of problems of informative inference, which are usually formulated in terms of hypothesis testing and decision making. The book argues that evidential interpretations of outcomes in terms of supporting or refuting specific statistical hypotheses are not only valid but necessary for understanding the role of statistical experiments in empirical research. By focusing on the likelihood function and its properties, the author provides a fresh perspective on the foundations of statistical inference that challenges the dominance of hypothesis testing in statistical practice. This book will be of interest to statisticians, philosophers of science, and anyone interested in the foundations of statistical inference, particularly as it relates to problems of informative inference. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
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Add to basketPaperback. Condition: New. Print on Demand. This book establishes a theory of estimation unifying previous formulations and providing practical computational methods. It addresses the question of selecting a good estimator from a set of admissible ones, thereby tackling a problem that has been approached through various criteria, most of which have issues of arbitrariness from an application standpoint. The author introduces a weak specification of closeness of estimators, leading to a natural partial ordering and the concepts of complete and essentially complete classes of estimators; the minimal complete class, if one exists, coincides with the admissible class. The author presents an original result, the existence of admissible confidence curve estimators, which formally include as elements confidence limits, confidence intervals, and point estimates at any level. The text elucidates the ideas with examples illustrating their use and theoretical and technical relevance for estimation theories based on different criteria and formulations. Through an innovative use of the theory of tests of one-sided hypotheses, the author characterizes admissible estimators and develops the theory of admissible point estimators. The author also discusses the relations between exact and asymptotic results and provides applications such as sequential estimators with prescribed precision in a given region. The author includes a historical overview of estimation theory, particularly the work of Laplace and Gauss, and relates the new approach to the well-known work of Neyman and Pearson on confidence regions and tests of hypotheses. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
