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Quyết định danh mục, nơi mà một danh sách có thứ tự các quy tắc thay đổi phân loại được học ; vỗ, một sai lầm ngưỡng tuyến tính điều khiển trực tuyến học thuật toán ), và thuật toán). Một kỹ thuật phân loại quan trọng, Buyes ngây thơ, đã được giới thiệu trong | TABLE 2.1 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 Weibull csunifp csunifc 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 engineering 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 At the graduate level there is a book by Billingsley 1995 on probability and measure theory. He uses probability to motivate measure theory and then uses measure theory to generate more probability concepts. Another good reference is a text on probability and real analysis by Ash 1972 . This is suitable for graduate students in mathematics and statistics. For a book that can be used by graduate students in mathematics statistics and engineering see Port 1994 . This text provides a comprehensive treatment of the subject and can also be used as a reference by professional data analysts. Finally Breiman 1992 provides an overview of probability theory that is accessible to statisticians and engineers. 2002 by Chapman Hall CRC Exercises 2.1. .
