经典和现代回归分析及其应用
《经典和现代回归分析及其应用》纯英文影印版，Many volumes have been written by statisticians and scientists with the resultbeing that the arsenal of effective regression methods has increased manyfold. My intent for this second edition is to provide a rather substantial increase inmaterial related to classical regression while continuing to introduce relevant newand modern techniques. I have included major supplements in simple linearregression that deal with simultaneous influence, maximum likelihood estimationof parameters, and the plotting of residuals. In multiple regression, new andsubstantial sections on the use of the general linear hypothesis, indicator variables,the geometry of least squares, and relationship to ANOVA models are added.
基本信息
- 外文名
Classical and Modern Regression with Applications
- 出版社
高等教育出版社
- 作者
麦尔斯(Myers.R.H)
- 开本
16
- 页数
488页
图书信息
书名：经典和现代回归分析及其应用出版社: 高等教育出版社; 第1版 (2005年5月1日)
外文书名: classical and modern regression with applications
丛书名: 海外优秀数学类教材系列丛书
平装: 488页
正文语种: 简体中文, 英语
开本: 16
isbn: 7040163233
条形码: 9787040163230
商品尺寸: 24 x 18.4 x 2.2 cm
商品重量: 662 g
品牌: 高等教育出版社
内容简介
《经典和现代回归分析及其应用》纯英文影印版，Manyvolumeshavebeenwrittenbystatisticiansandscientistswiththeresultbeingthatthearsenalofeffectiveregressionmethodshasincreasedmanyfold. Myintentforthissecondeditionistoprovidearathersubstantialincreaseinmaterialrelatedtoclassicalregressionwhilecontinuingtointroducerelevantnewandmoderntechniques.Ihaveincludedmajorsupplementsinsimplelinearregressionthatdealwithsimultaneousinfluence,maximumlikelihoodestimationofparameters,andtheplottingofresiduals.Inmultipleregression,newandsubstantialsectionsontheuseofthegenerallinearhypothesis,indicatorvariables,thegeometryofleastsquares,andrelationshiptoANOVAmodelsareadded.
作者简介
作者：（美国）麦尔斯（Myers.R.H）
目录
CHAPTER 1
INTRODUCTION: REGRESSION ANALYSIS