Computational Statistics Handbook with MATLAB phần 9 docx

... 0 .9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 .9 1 Theoretical CDF Under CSR Fhat F ˆ x() G ˆ w() F ˆ x() F ˆ x() F ˆ x() G ˆ w() © 2002 by Chapman & Hall/CRC 498 Computational Statistics Handbook ... http://www.spatial -statistics. com/ As with the Mapping Toolbox, this has functions mostly for continuous spa- tial data. © 2002 by Chapman & Hall/CRC 500 Computational St...

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... [ 199 7], Launer and Wilkinson [ 197 9], Huber [ 198 1], or Rousseeuw and Leroy [ 198 7] or see the survey paper by Hogg [ 197 4]. Finally, the text by List of Functions from Chapter 3 Included in the Computational ... Finally, Breiman [ 199 2] provides an overview of probability theory that is accessible to statisticians and engineers. © 2002 by Chapman & Hall/CRC 94 Computational...

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... Chapman & Hall/CRC 132 Computational Statistics Handbook with M ATLAB Box plots (sometimes called box-and-whisker diagrams) have been in use for many years [Tukey, 197 7]. As with most visualization ... given by the surface with the one shown in Figure 5.18. −4 −2 0 2 4 −4 −2 0 2 4 −2 0 2 −2 0 2 0 0.05 0.1 © 2002 by Chapman & Hall/CRC 148 Computational Statistics Hand...

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... & Hall/CRC 170 Computational Statistics Handbook with M ATLAB Posse [ 199 5a, 199 5b] uses a random search to locate the global optimum of the projection index and combines it with the structure ... Krzanowski [ 199 9] describe the connection between projection pursuit and principal component analysis. n 10 3 10 6 …,,=() © 2002 by Chapman & Hall/CRC 182 Computational Stat...

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... theory and use of cross-valida- tion are Efron [ 198 2, 198 3, 198 6] and Efron and Tibshirani [ 199 1, 199 3]. Cross- validation is usually presented along with the corresponding applications. For example, ... [ 199 2]. Breiman, et al. [ 198 4] and Webb [ 199 9] describe how cross-validation is used to choose the right size classification tree. The initial jackknife method was proposed by...

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... & Hall/CRC 318 Computational Statistics Handbook with M ATLAB evaluating the classifier. In Section 9. 4, we illustrate how to construct classi- fication trees. Section 9. 5 contains methods ... , ) with c compo- nents, and we want to generate n random variables from that distribution. f ˆ x() p i g i x;θ i () © 2002 by Chapman & Hall/CRC 294 Computational Statistics...

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... 0.3 0.4 0.5 0.6 0.7 0.8 0 .9 1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 .9 1 ROC Curve P(FA) P( CC ω 1 ) © 2002 by Chapman & Hall/CRC 368 Computational Statistics Handbook with M ATLAB where denotes ... out more about the MATLAB Statistics Toolbox functions cluster and inconsistent. Use these with the data and clusters of Examples 9. 15 through 9. 17 to extract the clusters. 9. 6...

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... reader is referred to Simonoff [ 199 6], Wand and Jones [ 199 5], Bowman and Azzalini [ 199 7], Green and Silverman [ 199 4], and Scott [ 199 2]. The text by Loader [ 199 9] describes other methods for local ... usage, see Roberts [ 199 6] or Robert and Casella [ 199 9]. Another choice for a candidate generating density is proposed by Tierney [ 199 4] and described by Chib and Greenberg [ 199...

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... documentation Using MATLAB Graphics and Graphics and GUI’s with MATLAB [Marchand, 199 9]. In this appendix, we briefly describe some © 2002 by Chapman & Hall/CRC Appendix F Computational Statistics ... 550 Computational Statistics Handbook with M ATLAB Descriptive Statistics Function Purpose bootstrp Bootstrap statistics for any function. corrcoef Correlation coeffi...

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