The emphasis on statistical conceptual aspects of procedures helps me help my students. It is readable and will be of great use value to a selection of my graduate students. "JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide is a fantastic book. The 13-digit and 10-digit formats both work. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. SAS Publishing 2004, 385 pages ISBN: 1590473841, 978-1590473849 Art Carpenter thoroughly updates his successful first edition with an extensive collection of new examples and techniques.
University of North Carolina at Chapel Hill by SAS Institute (Creator) 3.7 out of 5 stars. I look forward to using this book and program more in the future." The 'sample' presentations of results at the ends of the chapters are a nice touch.
Sas jmp multivariate how to#
For example, Chapter 7 gives some basic information about t tests, provides an example, and reviews/reinforces how to enter data. In the same vein, I like the way they have included a 'case study' at the beginning of the presentation of most statistical procedures. Many 'how to' computer guides do not include such material. I like the inclusion of the first chapter on basic concepts in research and data analysis. Not sure exact date of its use in Animal science, probably nor more that 2 decades. "There are a number of positive features to the text. standard multivariate methods Invented by Pearson (1901) and Hotelling (1933) First applied in ecology by Goodall (1954) under the name factor analysis (principal factor analysis is a synonym of PCA). I would recommend this book to anyone who wants to achieve a high level mastery in the field of multivariate statistics in a short period of time. For the serious researcher it comes with some weighty topics, such as repeated-measures designs, between-subjects factors, suppressor variables, correlated predictor variables, and Cronbach's alpha. This book is ideal for both beginning and advanced JMP users. The number of realistic examples will build any JMP user's competency and expertise. I found the statistics primer at the beginning of the book, with its precise definition of measurement scale types, clear and crisp. All multivariate techniques in this session are based on: Decompositions of transformed matrices: Center, normalize, proportion, double-center, etc. This book will become one of my definitive texts, well thumbed and worn.
"The social sciences context for this book provides an easy path for any manager, scientist, or engineer in any field to obtain a nearly complete understanding of the entire field of multivariate statistics.