Finally! Your Students Don' t Have to be Mathematicians to Learn Multivariate Techniques! Multivariate techniques are fundamental to research analysis- but their mathematical derivations are often overwhelming to students. This exciting new book takes a gentle approach that introduces students to the various multivariate techniques used in business without intimidation: The author uses geometry to illustrate concepts so students understand the various techniques and their application. Matr algebra and proofs can also be used by referring to the appendices of the chapters.Each technique is discussed analytically using a small data set and hand calculations. This gives students a clearer understanding of the technique.Computer outputs from SAS and SPSS are annotated and discussed. Students learn how to interpret the results from these two popular statistical packages.The chapter-ending pedagogy includes exercises with data sets that reinforce concepts.Instructor' s Manual: 0-471-13061-3 Also available with this text is a carefully developed teaching tool for instructors. It offers detailed answers to all end of chapter exercises, including computer output for questions which require students to perform data analysis. An additional set of examination questions with answers are also provided in the manual.
Este livro traz um capítulo de introdução ( que pode-se dizer que é uma revisão )Depois nos outros capítulas explica de forma excelentes os métodos de análise multivariada, como por exemplo o método de componentes principais, regressão lógica, etc. Ainda no conteudo dos capítulos tem uma demonstração matemática também muito boa e se você quiser mais ele traz alguns programas em SAS e/ou SPSS e a interpretação da saída destes programas.
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