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74                         Computational Statistics Handbook with MATLAB



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                                  List of Functions from Chapter 3 Included in the Computational
                                  Statistics Toolbox
                                             Purpose                    MATLAB Function
                                  These functions are used to obtain      csbinpar
                                   parameter estimates for a distribution.  csexpar
                                                                          csgampar
                                                                          cspoipar
                                                                          csunipar
                                  These functions return the quantiles.   csbinoq
                                                                          csexpoq
                                                                          csunifq
                                                                          csweibq
                                                                          csnormq
                                                                         csquantiles
                                  Other descriptive statistics            csmomentc
                                                                          cskewness
                                                                         cskurtosis
                                                                          csmoment
                                                                           csecdf





                             3.7 Further Reading
                             Many books discuss sampling distributions and parameter estimation. These
                             topics are covered at an undergraduate level in most introductory statistics
                             books for engineers or non-statisticians. For the advanced undergraduate
                             and beginning graduate student, we recommend the text on mathematical
                             statistics by Hogg and Craig [1978]. Another excellent introductory book on
                             mathematical statistics that contains many applications and examples is writ-
                             ten by Mood, Graybill and Boes [1974]. Other texts at this same level include
                             Bain and Engelhardt [1992], Bickel and Doksum [2001], and Lindgren [1993].
                             For the reader interested in the theory of point estimation on a more
                             advanced graduate level, the book by Lehmann and Casella [1998] and Leh-
                             mann [1994] are classics.
                              Most of the texts already mentioned include descriptions of other methods
                             (Bayes methods, minimax methods, Pitman estimators, etc.) for estimating
                             parameters. For an introduction to robust estimation methods, see the books
                             by Wilcox [1997], Launer and Wilkinson [1979], Huber [1981], or Rousseeuw
                             and Leroy [1987] or see the survey paper by Hogg [1974]. Finally, the text by



                            © 2002 by Chapman & Hall/CRC
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