Hans-Michael Kaltenbach's A Concise Guide to Statistics (SpringerBriefs in Statistics) PDF

By Hans-Michael Kaltenbach

The textual content supplies a concise creation into primary thoughts in facts. bankruptcy 1: brief exposition of likelihood idea, utilizing prevalent examples. bankruptcy 2: Estimation in idea and perform, utilizing biologically inspired examples. Maximum-likelihood estimation in coated, together with Fisher details and gear computations. tools for calculating self assurance durations and powerful choices to plain estimators are given. bankruptcy three: speculation checking out with emphasis on strategies, rather type-I , type-II mistakes, and studying try effects. a number of examples are supplied. T-tests are used all through, very important different checks and robust/nonparametric choices. a number of checking out is mentioned in additional intensity, and mixture of autonomous exams is defined. bankruptcy four: Linear regression, with computations completely according to R. a number of crew comparisons with ANOVA are lined including linear contrasts, back utilizing R for computations.

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A Concise Guide to Statistics (SpringerBriefs in Statistics) by Hans-Michael Kaltenbach


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