Nonparametric Statistical Methods Using R
Nonparametric Statistical Methods Using R
复制标题
使用 R 的非参数统计方法
DOI：
10.1201/b17501
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发表时间：
2014
影响因子：
6.7
通讯作者：
J. McKean
中科院分区：
文献类型：
--
作者：
John D. Kloke;J. McKean
R-R基础阅读外部数据生成随机数据图形重复任务用户定义函数蒙特卡罗模拟R包基本统计符号测试符号检验有符号等级Wilcoxon Bootstrap稳健性单样本和两样本比例问题Chi2测试两样本问题简介示例基于等级分析的尺度问题放置检验Behrens-Fisher问题效率和最优分数自适应等级分数检验回归I简单线性回归多元线性回归线性模型对齐等级检验Bootstrap非参数回归相关ANOVA和ANCOVA单因素方差多因素析因设计第三类假设检验有序备选方案多样本尺度问题的ANCOVA方法事件分析Kaplan-Meier和Log Rank检验Cox比例风险模型加速故障时间模型回归II稳健诊断学加权回归具有偏态正态误差的线性模型霍格型自适应程序非线性时间序列相关数据Friedman检验联合排名估计器稳健方差分量估计器多重排名估计器Gee型估计器书目索引练习。
Getting Started with R R Basics Reading External Data Generating Random Data Graphics Repeating Tasks User-Defined Functions Monte Carlo Simulation R Packages Basic Statistics Sign Test Signed-Rank Wilcoxon Bootstrap Robustness One- and Two-Sample Proportion Problems chi2 Tests Two-Sample Problems Introductory Example Rank-Based Analyses Scale Problem Placement Test for the Behrens-Fisher Problem Efficiency and Optimal Scores Adaptive Rank Scores Tests Regression I Simple Linear Regression Multiple Linear Regression Linear Models Aligned Rank Tests Bootstrap Nonparametric Regression Correlation ANOVA and ANCOVA One-Way ANOVA Multi-Way Crossed Factorial Design ANCOVA Methodology for Type III Hypotheses Testing Ordered Alternatives Multi-Sample Scale Problem Time-to-Event Analysis Kaplan-Meier and Log Rank Test Cox Proportional Hazards Models Accelerated Failure Time Models Regression II Robust Diagnostics Weighted Regression Linear Models with Skew Normal Errors A Hogg-Type Adaptive Procedure Nonlinear Time Series Cluster Correlated Data Friedman's Test Joint Rankings Estimator Robust Variance Component Estimators Multiple Rankings Estimator GEE-Type Estimator Bibliography Index Exercises appear at the end of each chapter.