Computational Statistics Handbook with MATLAB phần 3 pps

... 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 Data Analysis 1 23 A quantile ... ranges for all the axes are consistent with a standard normal distribution. 0.01 0.02 0. 03 0.04 0.05 0.06 3 −2 −1 0 1 2 3 3 −2 −1 0 1 2 3 3 −2 −1 0 1 2 3 X Axis Y Axi...

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... = On 2 (). PI M αβ,() 1 12 κ 30 2 3 21 2 3 12 2 κ 03 2 1 4 κ 40 2 4κ 31 2 6κ 22 2 4κ 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 () 3 i 1= n ∑ = © ... 550 Computational Statistics Handbook with M ATLAB Descriptive Statistics Function Purpose bootstrp Bootstrap statistics for any function. corrco...

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... Equation 3. 31 gives the following expression for . (3. 32) We can now obtain the parameter t in terms of the population moments (sub- stitute Equation 3. 32 for in Equation 3. 29) as . (3. 33) To get ... estimates, we substitute the sample moments for and in Equations 3. 32 and 3. 33. This yields , (3. 34) and . (3. 35) In Table 3. 1, we provide some suggested point estimates for...

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... H 0 . H 0 −4 3 −2 −1 0 1 2 3 4 0 0.05 0.1 0.15 0.2 0.25 0 .3 0 .35 0.4 Density Z Rejection Region Non−rejection Region β, H 1 . H 0 © 2002 by Chapman & Hall/CRC 208 Computational Statistics Handbook ... species could be made based on these features. x 2 x 3 x4 x3 x2 x1 x4 x3 x2 x1 © 2002 by Chapman & Hall/CRC 166 Computational Statistics Handbook with M ATLA...

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... f′()   13 = Rf′() 1 4σ 3 π = h Hist * 24σ 3 π n    13 =3. 5σn 13 – ≈ σ h ˆ Hist * 3. 5 sn 13 – ××= © 2002 by Chapman & Hall/CRC 236 Computational Statistics Handbook with M ATLAB The ... h 4 Rf″()+= f ″ f x() h FP * 2 15 49nR f ″()    15⁄ = f x() Rf″() 38 πσ 5 ()⁄= © 2002 by Chapman & Hall/CRC 272 Computational Statistics Handbook w...

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... mixture model of Example 8.10. 3 −2 −1 0 1 2 3 4 5 6 7 −1 0 1 2 3 4 5 6 0.5 0 .3 0.2 µ x µ y dF Plot © 2002 by Chapman & Hall/CRC 30 8 Computational Statistics Handbook with M ATLAB This is the second ... 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 & Hall/CRC 286...

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... corresponding to features 190 1 43 52 174 131 50 218 126 49 130 131 51 138 127 52 211 129 49 X 1 X 2 X 3 © 2002 by Chapman & Hall/CRC 34 8 Computational Statistics Handbook with M ATLAB % This shows ... 2.8284 3. 6056 1.0000 0 1.4142 3. 6056 4.4721 1.0000 1.4142 0 3. 6056 4.2426 2.8284 3. 6056 3. 6056 0 1.0000 3. 6056 4.4721 4.2426 1.0000 0 We contrast this with...

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... 23. ,= Y i ˆ ε i Y i Y i ˆ –= ε i X i d 24610.,,,= λ 12,= α © 2002 by Chapman & Hall/CRC 436 Computational Statistics Handbook with M ATLAB high, yielding a higher rate at which we accept candidate points. ... XY()= © 2002 by Chapman & Hall/CRC 428 Computational Statistics Handbook with M ATLAB Monte Carlo integration estimates the integral of Equation 11 .3 by obt...

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... 1 … 3, ,= f x ,1 x ,2 x ,3 ,,()Cx ,1 x ,2 x ,3 x ,1 x ,2 x ,1 x ,3 x ,2 x ,3 +++ + +()–{}exp= x , i 0> EX ,1 X ,2 X ,3 [] f x ,1 x ,2 x ,3 ,,()kx ,1 4 x ,2 3 x ,3 2 1 x ,1 – x ,2 – x ,3 –()= x , ... Hall/CRC 478 Computational Statistics Handbook with M ATLAB ones(length(ugpoly(:,1)),1); hold on plot3(X(:,1),X(:,2),X(: ,3) ,'.') plot3(ugpoly(:,1),ugpoly...

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