Sanford Weisberg. Applied Linear Regression (4th Edition). Wiley, 2013. Cited on page 11.Sanford Weisberg. Applied Linear Regression (4th Edition). Wiley, 2013. Cited on page 7.Sanford Weisberg. Applied Linear Regression (4th Edition). Wiley, 2013. Cited on page 19....
Computing Primer for Applied Linear Regression, 4th Edition, Using R S Weisberg 被引量: 0发表: 2014年 Applied linear statistical models. Regression, analysis of variance, and experimental designs. 4th printing "Free instructor's copy ... not for sale"--Cover. Includes bibliographical references ...
StudentSolutions Manualto accompanyApplied LinearRegression ModelsFourth EditionMichael H. KutnerEmory UniversityChristopher J. NachtsheimUniversity of MinnesotaJohn NeterUniversity of Georgia2004McGraw-Hill/IrwinChicago, ILBoston, MA
同时结合配套资源 1 作者网站(http://users.stat.umn.edu/~sandy/alr4ed/) 2 线性代数基础 本书下载链接(https://www.pdfdrive.com/applied-linear-regression-e165850875.html) 正文:C H A P T E R 1 Scatterplots and Regression 散点图和回归函数 认识散点图,简单。散点(plots)一般表示predictor var...
Applied Linear Regression Models - 4th Edition with Student CD 2025 pdf epub mobi 用户评价 评分☆☆☆ Fall 2010, DSOC 6190 Quantitative Research Methods, Joe Francis 评分☆☆☆ 很细致很细致 评分☆☆☆ 推导还可以,证明就一般吧!不过真的说的很详细了,包括dynamic regression, penalty regression, 等等...
Applied linear statistical models 4th. ed IRWIN . Chicago, IL, US .Neter, J., M. H. Kutner, C. J. Nachtsheim, and W. Wasserman. 1996 . Applied linear statistical models. 3rd. ed. Irwin, Boston.Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied...
(1996): Applied Linear Statistical Models, 4th ed. Times Mir- ror Higher Education Group, Inc. Iwin, Chicago, IL.MORRIS, D. M., W. H. PARKER ... DM Morris,WH Parker,R Seabrook - 《Canadian Journal of Forest Research》 被引量: 49发表: 1992年 Pairwise Parameter Estimation in Rasch ...
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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition 电子书 读后感 评分☆☆☆ 这是一本相当赞的书,用了一夜时间读完。我感兴趣的是书中对于curvelinear和interation两部分的介绍,相当见功力。其对于centered的阐述很有启发。但也流于探索性研究,想要进一步发展之很困难。 据介绍...
Chapter 14 Linear Regression Chapter 15 General Linear Least-Squares and Nonlinear Regression Chapter 16 Fourier Analysis Chapter 17 Polynomial Interpolation Chapter 18 Splines and Piecewise Interpolation Part Five: Integration and Differentiation Chapter 19 Numerical Integration Formulas Chapter 20 Numerical Int...