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A Concise Guide to Statistics
Hans-Michael Kaltenbach
出版Springer Science & Business Media, 2011-09-18
主題Mathematics / Probability & Statistics / GeneralMedical / BiostatisticsMathematics / Probability & Statistics / Stochastic Processes
ISBN36422350269783642235023
URLhttp://books.google.com.hk/books?id=2L8xNcbRvYgC&hl=&source=gbs_api
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註釋The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations.