Observed Confidence Levels —— Theory and Application

----- 显性确定水平：理论与应用

ISBN: 9781584888024 出版年：2007 页码：289 Polansky, Alan M CRC Press

Preface Introduction Introduction The Problem of Regions Some Example Applications About This Book Single Parameter Problems Introduction The General Case Smooth Function Model Asymptotic Comparisons Empirical Comparisons Examples Computation Using R Exercises Multiple Parameter Problems Introduction Smooth Function Model Asymptotic Accuracy Empirical Comparisons Examples Computation Using R Exercises Linear Models and Regression Introduction Statistical Framework Asymptotic Accuracy Empirical Comparisons Examples Further Issues in Linear Regression Computation Using R Exercises Nonparametric Smoothing Problems Introduction Nonparametric Density Estimation Density Estimation Examples Solving Density Estimation Problems Using R Nonparametric Regression Nonparametric Regression Examples Solving Nonparametric Regression Problems Using R Exercises Further Applications Classical Nonparametric Methods Generalized Linear Models Multivariate Analysis Survival Analysis Exercises Connections and Comparisons Introduction Statistical Hypothesis Testing Multiple Comparisons Attained Confidence Levels Bayesian Confidence Levels Exercises Appendix: Review of Asymptotic Statistics Taylor's Theorem Modes of Convergence Central Limit Theorem Convergence Rates Exercises References INDEX