{"product_id":"multivariate-reduced-rank-regression-theory-methods-and-applications-9781071627914","title":"Multivariate Reduced-Rank Regression: Theory, Methods and Applications","description":"\u003cp\u003eThis book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications. In addition to a historical review of the topic, its connection to other widely used statistical methods, such as multivariate analysis of variance (MANOVA), discriminant analysis, principal components, canonical correlation analysis, and errors-in-variables models, is also discussed.\u003c\/p\u003e \u003cp\u003eThis new edition incorporates Big Data methodology and its applications, as well as high-dimensional reduced-rank regression, generalized reduced-rank regression with complex data, and sparse and low-rank regression methods. Each chapter contains developments of basic theoretical results, as well as details on computational procedures, illustrated with numerical examples drawn from disciplines such as biochemistry, genetics, marketing, and finance. \u003c\/p\u003e \u003cp\u003eThis book is designed for advanced students, practitioners, and researchers, who may deal with moderate and high-dimensional multivariate data. Because regression is one of the most popular statistical methods, the multivariate regression analysis tools described should provide a natural way of looking at large (both cross-sectional and chronological) data sets. This book can be assigned in seminar-type courses taken by advanced graduate students in statistics, machine learning, econometrics, business, and engineering.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-7716380\"\u003eGregory C. Reinsel\u003c\/a\u003e, \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-15812201\"\u003eRaja P. Velu\u003c\/a\u003e, \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-6707231\"\u003eKun Chen\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/01\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 411\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.34lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.89d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781071627914\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1071627910\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-MAT\"\u003eMathematics\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-MAT029000\"\u003eProbability \u0026amp; Statistics | General\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGregory C. Reinsel\u003c\/b\u003e (now deceased) was Professor of Statistics at the University of Wisconsin, Madison. He was a fellow of the American Statistical Association. He also author of the book \u003cem\u003eElements of Multivariate Time Series Analysis\u003c\/em\u003e, Second Edition, and coauthor, with G.E.P. Box and G.M. Jenkins, of the book \u003cem\u003eTime Series Analysis: Forecasting and Control\u003c\/em\u003e, Third Edition. Greg will remain the first author, in our gratitude.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRaja P. Velu\u003c\/b\u003e taught business analytics and finance at Syracuse University. The first version of the book was mainly based on his thesis written under the supervision of Professor Reinsel and Professor Dean Wichern. He works in the big data models area with interest in high-dimensional time series and forecasting applications. His book, \u003cem\u003eAlgorithmic Trading and Quantitative Strategies\u003c\/em\u003e, co-authored with practitioners from CITI and JP Morgan Chase, is published by Taylor and Francis. He was recently (2021-2022) a visiting researcher at Google working with the Resource Efficiency Data Science team.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKun Chen\u003c\/b\u003e is an associate professor in the Department of Statistics at the University of Connecticut. He is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute. The first version of the book has had profound influence on his research since his PhD study at the University of Iowa under the supervision of Professor Kung-Sik Chan. His related work has resulted in many publications in statistics, machine learning, and scientific journals and the developed methods have been applied to tackle consequential problems in various fields including public health, ecology, and biological sciences.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":44448129089773,"sku":"9781071627914","price":194.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/products\/img_ff91d7eb-c160-43d0-a0e3-995ac231081d.jpg?v=1700299744","url":"https:\/\/sureshotbooks.com\/es\/products\/multivariate-reduced-rank-regression-theory-methods-and-applications-9781071627914","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}