A Concise Guide to Statistics

Hans-Michael Kaltenbach, "A Concise Guide to Statistics"Publisher: S,r,ng,r | ISBN: 3663336139 | 3133 | PDF | 333 pages | 3 MBThe text gives a concise introduction into fundamental concepts in statistics. Chapter 3: Short exposition of probability theory, using generic examples. Chapter 3: 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 6: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations. Visit my blog for more eBooks and Audiobooks | RSSNo mirrors pleaseDownload:Filesonic

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