消息首页搜索举报

现货Theory of Ridge Regression Estimation with Applications[9781118644614]

1322 九五品

库存5件

上海宝山

认证卖家担保交易快速发货售后保障

作者Saleh, A K MD Ehsanes ; Arashi, Mohammad ; Kibria, B M Golam

出版社Wiley

ISBN9781118644614

出版时间2019-02

装帧精装

纸张其他

页数384页

正文语种英语

上书时间2023-08-16

环球外文图书专营店

已实名已认证进店收藏店铺

在售商品暂无
平均发货时间 55小时
好评率暂无

最新上架

现货 Nilpotence and Periodicity in Stable Homotopy Theory. (Am-128), Volume 128 (Annals of Mathematics Studies #128) ¥780.00

How to Win the War on Truth : An Illustrated Guide to How Mistruths Are Sold, Why They Stick, and How to Reclaim Reality [9781683693086] ¥180.00

现货Was Socialist Realism Global?: Modernism, Soc-Modernism, Socially Engaged Figuration Volume 21[9788393381838] ¥240.00

现货Singaporean Creatures: Histories of Humans and Other Animals in the Garden City[9789813252387] ¥293.00

现货Agricultural Knowledge Networks in Rural Europe, 1700-2000[9781783277124] ¥853.00

现货Cultural Legacies of Old Norse Literature: New Perspectives[9781843846383] ¥853.00

现货Visible!: Attracting Customers in a Distracted World[9783593517117] ¥225.00

现货Giorgio Vasari: The Man and the Book[9780691252216] ¥361.00

现货Nudibranchs of Britain, Ireland and Northwest Europe: Second Edition[9780691208794] ¥323.00

商品详情

品相描述：九五品

商品描述: This book discusses current methods of estimation in linear models. In particular, the authors address the methodology of linear multiple regression models that plays an important role in almost every scientific investigations in various fields, including?economics, engineering, and biostatistics.? The standard estimation method for regression parameters is the ordinary least square (OLS) principal where residual squared errors are minimized. Applied statisticians are often not satisfied with OLS estimators when the design matrix is ill-conditioned, leading to a multicollinearity problem and large variances that make the prediction inaccurate.? This book details the ridge regression estimator, which was developed to combat the multicollinearity problem. Another estimator, called the Liu-estimator due to Liu Kejian, is also addressed since it provides a competing resolution to the multicollinearity problem.? The ridge regression estimators are complicated non-linear functions of the ridge parameter, whereas, the Liu estimators are a linear function of the shrinkage parameter. With a focus on the ridge regression and LIU estimators, this book provides expanded coverage beyond the usual preliminary test and Stein type estimator. In this case, we propose a class of composite estimators that are obtained by multiplying the OLS, restricted OLS, preliminary test OLS, and Stein-type OLS by the ridge factor and Liu-factor. This research is a significant step towards the study of dominance properties as well as the comparison of the extent of LASSO properties. In addition, research materials involving shrinkage and model selection for linear regression models are provided.? Topical coverage includes: preliminaries; linear regression models; multiple regression models; measurement error models; generalized linear models; and autoregressive Gaussian processes.

— 没有更多了 —