書目名稱 | Reduced Rank Regression |
副標題 | With Applications to |
編輯 | Heinz Schmidli |
視頻video | http://file.papertrans.cn/825/824534/824534.mp4 |
叢書名稱 | Contributions to Statistics |
圖書封面 |  |
描述 | 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). |
出版日期 | Book 1995 |
關(guān)鍵詞 | Covariance matrix; Latent variable model; Likelihood; Multivariate Verfahren; Regression Analysis; Regres |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-50015-2 |
isbn_softcover | 978-3-7908-0871-1 |
isbn_ebook | 978-3-642-50015-2Series ISSN 1431-1968 Series E-ISSN 2628-8966 |
issn_series | 1431-1968 |
copyright | Springer-Verlag Berlin Heidelberg 1995 |