permutation statistical methods integrated von berry kenneth (6 Ergebnisse)

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: 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. Zustand: 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.

Hardcover. Zustand: Brand New. 644 pages. 9.50x6.50x1.75 inches. In Stock.

Buch. Zustand: 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.