9783319804194 - Permutation Statistical Methods: An Integrated Approach de Berry, Kenneth J.; Mielke Jr., Paul W.; Johnston, Janis E. (10 resultados)

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Taschenbuch. Condición: Neu. Permutation Statistical Methods | An Integrated Approach | Kenneth J. Berry (u. a.) | Taschenbuch | xx | Englisch | 2018 | Springer | EAN 9783319804194 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size.Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. lly-informed='' audience,='' and='' can='' also='' easily='' serve='' as='' textbook='' in='' graduate='' course='' departments='' such='' statistics,='' psychology,='' or='' biology.='' particular,='' the='' audience='' for='' book='' is='' teachers='' of='' practicing='' statisticians,='' applied='' quantitative='' students='' fields='' medical='' research,='' epidemiology,='' public='' health,='' biology.

Condición: New. pp. 622.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size.Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. lly-informed='' audience,='' and='' can='' also='' easily='' serve='' as='' textbook='' in='' graduate='' course='' departments='' such='' statistics,='' psychology,='' or='' biology.='' particular,='' the='' audience='' for='' book='' is='' teachers='' of='' practicing='' statisticians,='' applied='' quantitative='' students='' fields='' medical='' research,='' epidemiology,='' public='' health,='' biology. 644 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a methodological umbrella under which (1) disparate statistical methods are synthesized and integrated and (2) a number of new permutation statistical methods are developedSynthesizes and integrates a large number of existing classical.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size.Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research.lly-informed='' audience,='' and='' can='' also='' easily='' serve='' as='' textbook='' in='' graduate='' course='' departments='' such='' statistics,='' psychology,='' or='' biology.='' particular,='' the='' audience='' for='' book='' is='' teachers='' of='' practicing='' statisticians,='' applied='' quantitative='' students='' fields='' medical='' research,='' epidemiology,='' public='' health,='' biology.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 644 pp. Englisch.

Condición: New. Print on Demand pp. 622.

Condición: New. PRINT ON DEMAND pp. 622.