Computational Statistics Handbook with MATLAB phần 7 pdf

... 0.2 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 ... corresponding to features 190 143 52 174 131 50 218 126 49 130 131 51 138 1 27 52 211 129 49 X 1 X 2 X 3 © 2002 by Chapman & Hall/CRC 348 Computational Statistics Handbook...

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... 2 0 0 0.2 0.4 0.6 0.8 1 F(X) X 0 .73 u 0 .73 ,= x 2= Up 0 … p k ++≤ Xx k = © 2002 by Chapman & Hall/CRC 74 Computational Statistics Handbook with M ATLAB 3 .7 Further Reading Many books discuss ... exercises. q 0.25 0.25= q 0.5 0.5= q 0 .75 0 .75 = j 0.5–()n⁄ Y I X I X obs Y obs F 1– X obs X j() Y obs © 2002 by Chapman & Hall/CRC 52 Computational Statistics Handbook...

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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, 1 977 ]. As with most visualization ... 6 7 8 9 10 −10 −9.5 −9 −8.5 −8 7. 5 7 −6.5 −6 −5.5 −5 1 1 1 Number of Females − k φ (n * k ) q ˆ 0.25 q ˆ 0.5 q ˆ 0 .75 ,,() IQR ˆ q ˆ 0 .75 q ˆ 0.25 –= © 2002 by Chapman...

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... & Hall/CRC 170 Computational Statistics Handbook with M ATLAB Posse [1995a, 1995b] uses a random search to locate the global optimum of the projection index and combines it with the structure ... orientations; and • It is easily reversible. © 2002 by Chapman & Hall/CRC 176 Computational Statistics Handbook with M ATLAB Once the structure is removed using this proce...

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... Chapman & Hall/CRC 248 Computational Statistics Handbook with M ATLAB Interval: , (7. 16) where (7. 17) Let’s look a little closer at and given in Equation 7. 17. Since denotes the standard ... sn 13⁄– ××= © 2002 by Chapman & Hall/CRC 236 Computational Statistics Handbook with M ATLAB The prediction error is defined as , (7. 5) where the expectation is with re...

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... 8 0 0.05 0.1 0.15 0.2 0.25 Feature − x x 0 .75 –= ω 1 ω 2 P x ω j ()P ω j () P x ω i ()P ω i ();= ij≠ x 0.5–= x 0.5–< © 2002 by Chapman & Hall/CRC 320 Computational Statistics Handbook with M ATLAB The features ... Computational Statistics Handbook with M ATLAB plot for the three term mixture model in Example 8.12. Note that the adaptive mixture approach yields more tha...

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... & Hall/CRC 418 Computational Statistics Handook with M ATLAB X(501 :75 0,1) = unifrnd(-1,0,250,1); X(501 :75 0,2) = unifrnd(-1,-0.5,250,1); y(501 :75 0) = 10+sqrt(2)*randn(1,250); X (75 1:1000,1) = unifrnd(0,1,250,1); X (75 1:1000,2) ... follows (10.29) x 1 x 1 x 2 R α T() Rt() αT+= ) © 2002 by Chapman & Hall/CRC 420 Computational Statistics Handook with M ATLAB availabl...

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... the This shows the kernel estimate of the intensity along with a dot map. © 2002 by Chapman & Hall/CRC 470 Computational Statistics Handbook with M ATLAB In this figure, we show a realization from ... 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...

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... 550 Computational Statistics Handbook with M ATLAB Descriptive Statistics Function Purpose bootstrp Bootstrap statistics for any function. corrcoef Correlation coefficient - also in standard MATLAB cov ... 548 Computational Statistics Handbook with M ATLAB Probability Density Functions (pdf) and Cumulative Distribution Functions (cdf) Function Purpose betapdf, betacdf...

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