ATTENTION:<\/strong><\/p>\n\n\n\n BEFORE YOU READ THE ABSTRACT OR CHAPTER ONE OF THE PROJECT TOPICS BELOW, PLEASE READ THE INFORMATION BELOW.THANK YOU!<\/strong><\/p>\n\n\n\n INFORMATION:<\/strong><\/p>\n\n\n\n YOU CAN GET THE COMPLETE PROJECT OF THE TOPIC BELOW. THE FULL PROJECT COST N5,000 ONLY. THE FULL INFORMATION ON HOW TO PAY AND GET THE COMPLETE PROJECT IS AT THE BOTTOM OF THIS PAGE. OR<\/strong><\/p>\n\n\n\n YOU CAN CALL: 08068231953, 08137701720<\/strong><\/p>\n\n\n\n WHATSAPP US ON: 08137701720<\/strong><\/p>\n\n\n\n MIXED MODELS: THEORY AND APPLICATIONS WITH R<\/strong><\/p>\n\n\n\n Description: Praise for the First Edition \u201cThis book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one\u2019s personal library.\u201d Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in\u2013depth mathematical coverage of mixed models\u2019 statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images.<\/p>\n\n\n\n The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end\u2013of\u2013section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforce material Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate\u2013level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.<\/p>\n\n\n\n HOW TO RECEIVE PROJECT MATERICAL(S)<\/strong><\/p>\n\n\n\n After paying the appropriate amount (#5,000) into our bank Account below, send the following information to<\/strong><\/p>\n\n\n\n 08068231953 or 08168759420<\/strong><\/p>\n\n\n\n (1) Your project topics<\/p>\n\n\n\n (2) Email Address<\/p>\n\n\n\n (3) Payment Name<\/p>\n\n\n\n (4) Teller Number<\/p>\n\n\n\n We will send your material(s) after we receive bank alert<\/p>\n\n\n\n BANK ACCOUNTS<\/strong><\/p>\n\n\n\n Account Name: AMUTAH DANIEL CHUKWUDI<\/p>\n\n\n\n Account Number: 0046579864<\/p>\n\n\n\n Bank: GTBank.<\/p>\n\n\n\n OR<\/p>\n\n\n\n Account Name: AMUTAH DANIEL CHUKWUDI<\/p>\n\n\n\n Account Number: 3139283609<\/p>\n\n\n\n Bank: FIRST BANK<\/p>\n\n\n\n FOR MORE INFORMATION, CALL:<\/strong><\/p>\n\n\n\n 08068231953 or 08168759420<\/strong><\/p>\n\n\n\n AFFILIATE LINKS:<\/a><\/p>\n\n\n\n easyprojectmaterials.com<\/a><\/p>\n\n\n\n