Computational Statistics Handbook with MATLAB phần 5 pot

... bootstrap. [bhat,seboot,bvals]=csboot(x','median' ,50 0); q ˆ 0 .5 84 .5= x 74= q ˆ 0 .5 84 .5= q ˆ 0 .5 85= SE ˆ Jack q ˆ 0 .5 ()12= © 2002 by Chapman & Hall/CRC 254 Computational Statistics Handbook with M ATLAB will implement ... h 4 Rf″()+= f ″ f x() h FP * 2 15 49nR f ″()    15 = f x() Rf″() 38πσ 5 ()⁄= © 2002 by Chapman & Hall/CRC 27...

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... resulting estimates are qhat = -0.6928 0. 057 4 0.6 453 . The reader is asked to explore this further in the 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 © ... corresponding to the theoretical probability density function with . The histogram and the curve match quite well. 0 0 .5 1 1 .5 2 2 .5 3 3 .5 4 4 .5 5 0 0.2 0...

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... reasonable. 4 35 440 4 45 450 455 460 4 65 0.01 0.02 0. 05 0.10 0. 25 0 .50 0. 75 0.90 0. 95 0.98 0.99 Data Probability Normal Probability Plot t o 2 .56 –= H 0 © 2002 by Chapman & Hall/CRC Chapter 5: ... & Hall/CRC 170 Computational Statistics Handbook with M ATLAB Posse [1995a, 1995b] uses a random search to locate the global optimum of the projection ind...

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... 1000; X(1: 250 ,1) = unifrnd(0,1, 250 ,1); X(1: 250 ,2) = unifrnd(0 .5, 1, 250 ,1); y(1: 250 ) = 2+sqrt(2)*randn(1, 250 ); X( 251 :50 0,1) = unifrnd(-1,0, 250 ,1); X( 251 :50 0,2) = unifrnd(-0 .5, 1, 250 ,1); y( 251 :50 0) = ... 418 Computational Statistics Handook with M ATLAB X (50 1: 750 ,1) = unifrnd(-1,0, 250 ,1); X (50 1: 750 ,2) = unifrnd(-1,-0 .5, 250 ,1); y (50 1: 750 ) = 10+s...

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... Example 5. 11 using the scatter function with filled markers. 0 0 .5 1 1 .5 2 2 .5 3 3 .5 2 2 .5 3 3 .5 4 4 .5 0 0 .5 1 1 .5 2 2 .5 3 3 .5 2 2 .5 3 3 .5 4 4 .5 © 2002 by Chapman & Hall/CRC Chapter 5: Exploratory ... model the data. 0 1 2 3 4 5 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...

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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 ... method. 5 −4 −3 −2 −1 0 1 2 3 0 .1 .2 .3 .4 .5 .6 Mean Mixing Coefficient −10 −8 −6 −4 −2 0 2 4 6 8 10 0 0. 05 0.1 0. 15 0.2 0. 25 0.3 0. 35 x © 2002 by Chapman & Hal...

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... Statistical Pattern Recognition 3 65 ind2 = 2 :5: 50; ind3 = 3 :5: 50; ind4 = 4 :5: 50; ind5 = 5: 5 :50 ; Next we set up all of the testing and training sets. We use the MATLAB eval function to do this in ... using Euclidean distances and complete linkage. 1 2 3 4 5 0 0 .5 1 1 .5 2 2 .5 Clustering − Single Linkage 1 2 3 4 5 0 0 .5 1 1 .5 2 2 .5 3 3 .5 4 4 .5 Clustering − Comp...

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... Uganda. 0 50 0 1000 150 0 2000 250 0 3000 50 0 1000 150 0 2000 250 0 3000 350 0 4000 450 0 Volcanic Craters in Uganda © 2002 by Chapman & Hall/CRC 488 Computational Statistics Handbook with M ATLAB We ... = [0 0 1 1 0]; rxp = [ 05 1. 05 1. 05 05 05] ; ryp = [ 05 05 1. 05 1. 05 05] ; % Get all of the parents. [xp,yp] = csbinproc(rxp, ryp, npar); We use a Poisson dist...

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... 55 0 Computational Statistics Handbook with M ATLAB Descriptive Statistics Function Purpose bootstrp Bootstrap statistics for any function. corrcoef Correlation ... quadl(fnr,sqrt(2*log(6)) /5, 2*sqrt(2*log(6)) /5) /8; ck(17:24) = quadl(fnr,2*sqrt(2*log(6)) /5, 3*sqrt(2*log(6)) /5) /8; ck( 25: 32) = quadl(fnr,3*sqrt(2*log(6)) /5, 4*sqrt(2*log(6)) /5) /8; ck(33:40) = quadl(fnr,...

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