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46                         Computational Statistics Handbook with MATLAB



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                                      TA AB  B LE L E 2.1 2.1
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                                      List of Functions from Chapter 2 Included in the
                                      Computational Statistics Toolbox
                                               Distribution            MATLAB Function
                                      Beta                            csbetap, csbetac
                                      Binomial                        csbinop, csbinoc
                                      Chi-square                      cschip, cschic
                                      Exponential                     csexpop, csexpoc
                                      Gamma                           csgammp, csgammc
                                      Normal - univariate             csnormp, csnormc
                                      Normal - multivariate             csevalnorm
                                      Poisson                         cspoisp, cspoisc
                                      Continuous Uniform              csunifp, csunifc

                                      Weibull                         csweibp, csweibc





                                   ftp://ftp.mathworks.com/pub/mathworks/
                             under the  stats directory. This function can be substituted for
                             csevalnorm.






                             2.7 Further Reading
                             There are many excellent books on probability theory at the undergraduate
                             and graduate levels. Ross [1994; 1997; 2000] is the author of several books on
                             probability theory and simulation. These texts contain many examples and
                             are appropriate for advanced undergraduate students in statistics, engineer-
                             ing and science. Rohatgi [1976] provides a solid theoretical introduction to
                             probability theory. This text can be used by advanced undergraduate and
                             beginning graduate students. It has recently been updated with many new
                             examples and special topics [Rohatgi and Saleh, 2000]. For those who want to
                             learn about probability, but do not want to be overwhelmed with the theory,
                             then we recommend Durrett [1994].





                             © 2002 by Chapman & Hall/CRC
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