9783030743635 - permutation statistical methods with r de johnston, janis e.; berry, kenneth j.; kvamme, kenneth l. (22 resultados)
Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Librería: Blue Vase Books, Interlochen, MI, Estados Unidos de AmericaBlue Vase Books
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Condición: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental material…s.
Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Permutation Statistical Methods with R
Kenneth J. Berry, Paul W. Mielke, Jr., Kenneth L. Kvamme, Janis E. Johnston
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Paperback. Condición: New. 2021 ed. This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical populatio…n model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency.Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research.Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
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Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Taschenbuch. Condición: Neu. Permutation Statistical Methods with R | Kenneth J. Berry (u. a.) | Taschenbuch | xxiv | Englisch | 2022 | Springer | EAN 9783030743635 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Permutation Statistical Methods with R
Berry, Kenneth J./ Kvamme, Kenneth L./ Johnston, Janis E./ Mielke Jr., Paul W.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 684 pages. 9.25x6.10x1.30 inches. In Stock.
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of…statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency.Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research.Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
Permutation Statistical Methods with R
Kenneth J. Berry, Paul W. Mielke, Jr., Kenneth L. Kvamme, Janis E. Johnston
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Paperback. Condición: New. 2021 ed. This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical populatio…n model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency.Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research.Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrastin…g two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency.Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research.Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed. 684 pp. Englisch.
Permutation Statistical Methods with R
Berry, Kenneth J.|Kvamme, Kenneth L.|Johnston, Janis E.|Mielke, Jr., Paul W.
Idioma: Inglés
Editorial: Springer, Berlin|Springer International Publishing|Springer, 2022
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing… and contrasting two models of statis.
Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting tw…o models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency.Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research.Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 684 pp. Englisch.
Permutation Statistical Methods with R
Berry, Kenneth J.; Kvamme, Kenneth L.; Johnston, Janis E.; Mielke Jr., Paul W.
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