Focusing on implementation rather than theory, "Statistical Computing with R" serves as a valuable tutorial, providing examples that illustrate programming concepts in the context of practical computational problems. This book presents an overview of computational statistics with an introduction to the R computing environment. Reviewing basic concepts in probability and classical statistical inference, the text demonstrates every algorithm through fully implemented examples coded in R. Chapters cover topics such as Monte Carlo methods, clustering, bootstrap, nonparametric regression, density estimation, and goodness-of-fit. Many exercises are included for the students while a solutions manual is included for the instructor.
具體描述
讀後感
評分
評分
評分
評分
用戶評價
這學期的課本，很簡單，但一些課後習題有歧義
评分講的不夠詳細，例子不夠多。
评分講的不夠詳細，例子不夠多。
评分講的不夠詳細，例子不夠多。
评分stat403 sp13 作業。。嗬嗬
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