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Permutation Statistical Methods
An Integrated Approach
Engleski
249 b
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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.§§
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