| 期刊全稱 | A Concise Guide to Statistics | | 影響因子2023 | Hans-Michael Kaltenbach | | 視頻video | http://file.papertrans.cn/141/140366/140366.mp4 | | 發(fā)行地址 | Focus on concepts rather than long calculations.Several topics relevant to modern biology (multiple testing, minimax estimation) usually not found in similar texts.Concise first introduction or repeti | | 學(xué)科分類 | SpringerBriefs in Statistics | | 圖書(shū)封面 |  | | 影響因子 | 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. | | Pindex | Book 2012 |
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