{"product_id":"advanced-linear-modeling-statistical-learning-and-dependent-data-paperback","title":"Advanced Linear Modeling: Statistical Learning and Dependent Data - Paperback","description":"\u003cp\u003eby \u003cb\u003eRonald Christensen\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book will serve as a reference book for graduate students and researchers in statistics. Written by a leading researcher in the field, it discusses advanced topics in the area of linear models.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eNow in its third edition, this companion volume to Ronald Christensen's\u003cem\u003e Plane \u003c\/em\u003e\u003ci\u003eAnswers to Complex Questions\u003c\/i\u003e uses three fundamental concepts from standard linear model theory--best linear prediction, projections, and Mahalanobis distance-- to extend standard linear modeling into the realms of Statistical Learning and Dependent Data. \u003cbr\u003eThis new edition features a wealth of new and revised content. In Statistical Learning it delves into nonparametric regression, penalized estimation (regularization), reproducing kernel Hilbert spaces, the kernel trick, and support vector machines. For Dependent Data it uses linear model theory to examine general linear models, linear mixed models, time series, spatial data, (generalized) multivariate linear models, discrimination, and dimension reduction. While numerous references to \u003cem\u003ePlane Answers\u003c\/em\u003e are made throughout the volume, \u003cem\u003eAdvanced Linear Modeling\u003c\/em\u003e can be used on its own given a solid background in linear models. Accompanying R code for the analyses is available online.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eRonald Christensen is a Professor of Statistics at the University of New Mexico, Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics, former Chair of the ASA Section on Bayesian Statistical Science and former Editor of \u003cem\u003eThe American Statistician\u003c\/em\u003e. His book publications include \u003ci\u003ePlane Answers to Complex Questions \u003c\/i\u003e(Springer 2011), \u003ci\u003eLog-Linear Models and Logistic Regression \u003c\/i\u003e(Springer 1997), \u003ci\u003eAnalysis of Variance, Design, and Regression\u003c\/i\u003e (1996, 2016), and \u003cem\u003eBayesian Ideas and Data Analysis\u003c\/em\u003e (2010, with Johnson, Branscum and Hanson).\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 608\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.28 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 08, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51775961301280,"sku":"9783030291662","price":161.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/d89b98dacdf1f1121f34903feb5cc24f.webp?v=1780469547","url":"https:\/\/ebocreations.com\/products\/advanced-linear-modeling-statistical-learning-and-dependent-data-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}