Computational Statistics Handbook with MATLAB phần 4 potx

... the mcdata data shows that assuming a normal distribution for the data is reasonable. 43 5 44 0 44 5 45 0 45 5 46 0 46 5 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 ... matrix with correlation 1. covmat = [1 1; 1 1]; This shows the parallel coordinate representation for the 4- D point (1,3,7,2). 1 2 3 4 5 6 7 0 © 2002 by Chapman &...

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... autoregressive generating density of Example 11 .4. −2 −1 0 1 2 3 4 −1 0 1 2 3 4 5 Random Walk Version Zz 1 z 2 z 3 z 4 ,,,()1251820 34, ,,()== 1 2 θ 4 1 4 1 θ–() 1 4 1 θ–() θ 4 ,,,+   θ, P θ Z()πθ() ... cstreer(X(j,:),t0); err(j) = (y(j)-yhat). ^4- msemin^2; end se = sqrt(sum(err)/nprime)/sqrt(nprime); © 2002 by Chapman & Hall/CRC 44 0 Computational Statisti...

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... less than T 1 T 2 VT 2 () 8= VT 1 () 4= 01,(). © 2002 by Chapman & Hall/CRC 84 Computational Statistics Handbook with M ATLAB 6. else if deliver . Example 4. 3 We repeat the previous example ... 2002 by Chapman & Hall/CRC 94 Computational Statistics Handbook with M ATLAB . (4. 15) When is odd, say , we can use the fact that the chi-square distribu- tion with...

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... 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 Handbook with M ATLAB at 2-D ... bins. 0 0.05 0.1 0.02 0. 04 0.06 0.08 0.1 0.12 0. 14 4 −3 −2 −1 0 1 2 3 4 4 −3 −2 −1 0 1 2 3 4 © 2002 by Chapman & Hall/CRC 150 Computational Statistics Handbook...

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... between the variables is very different. 5 10 15 20 4 6 8 10 12 14 5 10 15 20 4 6 8 10 12 14 5 10 15 20 4 6 8 10 12 14 5 10 15 20 4 6 8 10 12 14 ρ ˆ 0.82= T i–() JT() T i n⁄ i 1= n ∑ = ) SE ˆ JackP T() 1 nn ... bootstrap. [bhat,seboot,bvals]=csboot(x','median',500); 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 &...

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... estimate gets rougher. 4 −2 0 2 4 0 0.2 0 .4 0.6 0.8 h = 0.11 4 −2 0 2 4 0 0.2 0 .4 0.6 0.8 h = 0.21 4 −2 0 2 4 0 0.2 0 .4 0.6 0.8 h = 0 .42 4 −2 0 2 4 0 0.2 0 .4 0.6 0.8 h = 0. 84 n 100= µ K 0= 0 σ K 2 ∞.<< h Ker * RK() nσ k 4 Rf″() ... 3 04 Computational Statistics Handbook with M ATLAB We continue through the data set, one point at a time, adding new...

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... 0 1.0000 1.0000 2.82 84 3.6056 1.0000 0 1 .41 42 3.6056 4. 4721 1.0000 1 .41 42 0 3.6056 4. 242 6 2.82 84 3.6056 3.6056 0 1.0000 3.6056 4. 4721 4. 242 6 1.0000 0 We contrast this with the city block distance. % ... corresponding to features 190 143 52 1 74 131 50 218 126 49 130 131 51 138 127 52 211 129 49 X 1 X 2 X 3 © 2002 by Chapman & Hall/CRC 348 Computational Sta...

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... the function csintkern with . 500 1000 1500 2000 2500 1000 1500 2000 2500 3000 3500 40 00 h 220= © 2002 by Chapman & Hall/CRC 48 6 Computational Statistics Handbook with M ATLAB evidence for ... 2500 3000 500 1000 1500 2000 2500 3000 3500 40 00 45 00 Volcanic Craters in Uganda © 2002 by Chapman & Hall/CRC 48 8 Computational Statistics Handbook with M ATLAB We no...

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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 ... κ 30 2 3κ 21 2 3κ 12 2 κ 03 2 1 4 κ 40 2 4 31 2 6κ 22 2 4 13 2 κ 04 2 ++++ ()++++    = κ 30 n n 1–()n 2–() z i α () 3 i 1= n ∑ = κ 03 n n 1–()n 2–() z i β...

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