"This text presents multivariate (MV) statistical methods using real-life problems and data sets. The emphasis is on correct interpretation of output to draw meaningful conclusions. Extensive SAS codes and corresponding output are presented in combination with sample problems and clear explanations of appropriate SAS procedures. The book covers a variety of topics including MV analysis of experimental data and repeated measures data, gra ..."
"Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SASĀ® Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on * mixed effects models * applications of the MIXED procedure * regression diagnostics with the correspoding IML proce ..."
"Multivariate data commonly encountered in a variety of disciplines is easy to understand with the approaches and methods described in Multivariate Data Reduction and Discrimination with SAS Software. The conceptual developments, theory, methods, and subsequent data analyses are presented systematically and in an integrated manner. The data analysis is performed using many multivariate analysis components available in SAS software. Illus ..."
"This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data Reduction and Discrimination with SAS? Software both by Ravindra Khattree and Dayanand N. Naik."
"Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in th ..."
"Real-world problems and data sets are the backbone ofthis book, which provides a unique approach to the topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on mixed effects models, applications of the MIXED procedure, regression diagnostics with the corresponding IML procedure code, and covariance structures. The authors' approach to the information ..."
"Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in ..."
"Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in ..."
"Easy to read and comprehensive, this book presents multivariate statistical methods using real-world problems and real data sets. The authors' unique approach to integrating statistical methods, data analysis, and applications of SAS software will aid professors, researchers, and students in a variety of disciplines and industries. The extensive SAS code and corresponding output accompany sample problems and clear explanations of the a ..."
"This volume presents a state of the art exposition of topics in the industrial statistics. It serves as an invaluable reference for the researchers in industrial statistics/industrial engineering and an up to date source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are ..."
"... Caroline Brickley, Ms. Julie Platt, and Ms. Judy Whatley, were most helpful and
generous with their suggestions and time. We very much appreciate their
understanding and their willingness to extend many of the deadlines. We would
also like to acknowledge the Oakland University Research Foundation for
partially supporting some of the travel of R. Khattree and the Old Dominion
University for approving the sabbatical of D. N. Naik ..."