登入選單
返回Google圖書搜尋
Reduced Rank Regression
Heinz Schmidli
其他書名
With Applications to Quantitative Structure-Activity Relationships
出版Springer Science & Business Media, 2013-03-13
主題Mathematics / Probability & Statistics / GeneralScience / Chemistry / GeneralBusiness & Economics / Economics / TheoryBusiness & Economics / StatisticsScience / Chemistry / Physical & TheoreticalMathematics / Probability & Statistics / Stochastic ProcessesMathematics / Applied
ISBN36425001539783642500152
URLhttp://books.google.com.hk/books?id=GmnpCAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction problems. For the first time, both classical and Bayesian inference is discussed, using recently proposed procedures such as the ECM-algorithm and the Gibbs sampler. All methods are motivated and illustrated by examples taken from the area of quantitative structure-activity relationships (QSAR).