Advanced Matlab: Exploratory Data Analysis and Computational Statistics
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منابع مشابه
Chapter 4 : Generating Random Variables
Many of the methods in computational statistics require the ability to generate random variables from known probability distributions. This is at the heart of Monte Carlo simulation for statistical inference (Chapter 6), bootstrap and resampling methods (Chapters 6 and 7), Markov chain Monte Carlo techniques (Chapter 11), and the analysis of spatial point processes (Chapter 12). In addition, we...
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The publisher regrets that in the above article the following text on page 42 was printed incorrectly. It is now reproduced correctly, below. We called ssanova running in the R for Windows from MATLAB program. The R command for fitting the partial spline model was fit<-ssanova(y ∼ t,partial =cbind(x1,x2),method ="u",varht=1).
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تاریخ انتشار 2015