Statistical Computing: An Introduction to Data Analysis using S-Plus

摘要: Preface.Statistical methods. Introduction to S Plus. Experimental design Central tendency. Probability. Variance. The Normal Distribution. Power calculations. Understanding data: graphical analysis. tabular Classical tests. Bootstrap and jackknife. Statistical models in Regression. Analysis of variance. covariance. Model criticism. Contrasts. Split plot Anova. Nested designs variance components Graphs, functions transformations. Curve fitting piecewise regression. Non linear Multiple simplification. Probability distributions. Generalised models. Proportion binomial errors. Count Poisson Binary response variables. Tree parametric smoothing. Survival Time series Mixed effects Spatial statistics. Bibliography. Index.