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."Sinopsis" puede pertenecer a otra edición de este libro.
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.This research monograph addresses a statistically-informed audience, and can also easily serve as a textbook in a graduate course in departments such as statistics, psychology, or biology. In particular, the audience for the book is teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Buch. 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. Nº de ref. del artículo: 9783319287683
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Librería: moluna, Greven, Alemania
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. Nº de ref. del artículo: 104623367
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 622. Nº de ref. del artículo: 26375128165
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Buch. 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. Nº de ref. del artículo: 9783319287683
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Buch. 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. Nº de ref. del artículo: 9783319287683
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Hardcover. Condición: Brand New. 644 pages. 9.50x6.50x1.75 inches. In Stock. Nº de ref. del artículo: x-3319287680
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