Nonparametric analysis of longitudinal data in factorial experiments
著者
書誌事項
Nonparametric analysis of longitudinal data in factorial experiments
（Wiley series in probability and mathematical statistics）
John Wiley, c2002
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注記
"A Wiley-Interscience publication"
Includes bibliographical references (p. 219-224) and index
内容説明・目次
内容説明
Adequate methods for evaluating longitudinal data are vital to such fields as medical research and the biological and social sciences. Emphasizing the advantages of using nonparametric methods in statistical procedures, this volume defines the methods and shows their practical procedures. Using numerous examples, it introduces systematic models and describes procedures for their analyses.
目次
Preface. Acknowledgments. Introduction. Models. Effects and Hypotheses. Estimators for Relative Effects. Test Statistics. Software. Experiments for One Group of Subjects. Experiements for Several Groups of Subjects. Dependent Replications. Multifactorial Experiments. Numerous Time Points. References. Appendix A: Original Data. Appendix B: Results from the SAS Macros. Glossary. Index.
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