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Sinopsis
This book covers the birth and historical development of permutation statistical methods from the early 1920s to the present day. Using an accessible, non-mathematical approach, the book presents permutation analogs of many well-known statistical tests.
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Acerca del autor
Kenneth J. Berry is Professor of Sociology at Colorado State University.
Janis E. Johnston is a Social Science Policy Analyst with the United States government in Washington, D.C.
Paul W. Mielke, Jr. is Professor Emeritus of Statistics at Colorado State University and Fellow of the American Statistical Association.
De la contraportada
The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods.
Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative.
Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.
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A Chronicle of Permutation Statistical Methods
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A Chronicle of Permutation Statistical Methods
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Springer International Publishing Sep 2016, 2016
ISBN 10: 3319343823
ISBN 13: 9783319343822
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods.Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative.Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels. 540 pp. Englisch. Nº de ref. del artículo: 9783319343822
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A Chronicle of Permutation Statistical Methods: 1920?2000, and Beyond (eng)
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A Chronicle of Permutation Statistical Methods
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Springer International Publishing, 2016
ISBN 10: 3319343823
ISBN 13: 9783319343822
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A unique approach to explaining statistics by developing the history and establishing the rigor of a topicThe first historical approach to this field and its developmentAn extensive historical bibliography is providedKenneth J. B. Nº de ref. del artículo: 385703670
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A Chronicle of Permutation Statistical Methods
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Springer, Palgrave Macmillan Sep 2016, 2016
ISBN 10: 3319343823
ISBN 13: 9783319343822
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods.Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative.Permutation analogs of many well-known statistical tests are presented in a historical context, includingmultiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 540 pp. Englisch. Nº de ref. del artículo: 9783319343822
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A Chronicle of Permutation Statistical Methods : 1920¿2000, and Beyond
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Springer International Publishing, 2016
ISBN 10: 3319343823
ISBN 13: 9783319343822
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, includingmultiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels. Nº de ref. del artículo: 9783319343822
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A Chronicle of Permutation Statistical Methods: 19202000, and Beyond
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A Chronicle of Permutation Statistical Methods: 19202000, and Beyond
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