{"product_id":"157229459_product","title":"Chen Kun Chen - Multivariate Reduced-Rank Regression   Theory, Methods","description":"Pages Count - 436. Binding type - Perfect. \u003cbr\u003e\u003cstrong\u003eAbout this Item\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe item is a book Paperback\u003cbr\u003eThe Author Name is Chen Kun Chen\u003cbr\u003eThe Title is Multivariate Reduced-Rank Regression : Theory, Methods and Applications\u003cbr\u003e\u003cbr\u003eCondition New\u003cbr\u003e\u003cbr\u003eOther Comments\u003cbr\u003ePages Count - 436. Binding type - Perfect. \u003cbr\u003eCategory - MATHEMATICS \/ Probability \u0026amp; Statistics \/ General\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eProduct Description -\u003cbr\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.This 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.\r\n\r\n This 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.\u003cbr\u003e\u003cbr\u003e\u003cfont color=\"red\"\u003e\u003cstrong\u003eWe Use Stock Images\u003c\/strong\u003e\u003cbr\u003eBecause we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item.\u003c\/font\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003eWhen possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong.\u003c\/p\u003e\n\n\u003cp\u003eBooks are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGift Ideas\u003c\/strong\u003e\u003cbr\u003e\nThis is a great gift idea.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eHours of Service\u003c\/strong\u003e\u003cbr\u003e\nWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday.\u003c\/p\u003e\n\u003cbr\u003eLocation ID 555z\u003cbr\u003e\u003cbr\u003eiHaveit SKU ID 157229459\u003cbr\u003e\u003cbr\u003e","brand":"Springer Nature B.V.","offers":[{"title":"Chen Kun Chen - Multivariate Reduced-Rank Regression   Theory, Methods","offer_id":45743752806644,"sku":"157229459","price":53.32,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/ihaveitmarketplace.com\/products\/157229459_product","provider":"iHaveit","version":"1.0","type":"link"}