热度 4 ||
Contents： 1 Introduction 2 Estimation 3 Hypothesis testing 4 Graphical exploration of data 5 Correlation and regression 6 Multiple and complex regression 7 Design and power analysis 8 Comparing groups or treatments – analysis of variance 9 Multifactor analysis of variance 10 Randomized blocks and simple repeated measures: unreplicated two factor designs 11 Split-plot and repeated measures designs: partly nested analyses of variance 12 Analyses of covariance 13 Generalized linear models and logistic regression 14 Analyzing frequencies 15 Introduction to multivariate analyses 16 Multivariate analysis of variance and discriminant analysis 17 Principal components and correspondence analysis 18 Multidimensional scaling and cluster analysis 19 Presentation of results  |
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