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Using Multivariate Statistics
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Barbara G Tabachnick, Linda S Fidell
This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses ...
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Applied Multivariate Statistical Analysis
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Richard A Johnson, Dean W Wichern
For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of ...
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An Introduction to Categorical Data Analysis
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Alan Agresti
Praise for the First Edition - 'This is a superb text from which to teach categorical data analysis, at a variety of levels...[t]his book can be very highly recommended' - "Short Book Reviews". 'Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product ...
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Categorical Data Analysis
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Alan Agresti
"Amstat News" asked three review editors to rate their top five favorite books in the September 2003 issue. "Categorical Data Analysis" was among those chosen. It is a valuable new edition of a standard reference. "A must have book for anyone expecting to do research and/or applications in categorical data analysis." - "Statistics in Medicine on ...
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Guide to Methods for Students of Political Science
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Stephen Van Evera
"Stephen Van Evera's Guide to Methods makes an important contribution toward improving the use of case studies for theory development and testing in the social sciences. His trenchant and concise views on issues ranging from epistemology to specific research techniques manage to convey not only the methods but the ethos of research. This book is ...
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Reading & Understanding Multivariate Statistics
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Laurence G Grimm (Editor), Paul R Yarnold (Editor)
This text aims to help researchers and students to understand the purpose and presentation of multivariate statistical techniques. The most commonly used techniques are described in detail, such as multiple regression and correlation and path analysis
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Applied Regression Analysis and Multivariable Methods
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David G. Klienbaum, Lawrence L. Kupper, Azhar Nizati
A practical and mathematically simple introduction to regression methods, applicable to real-life problems. The text emphasizes the intuitive logic and assumptions that underlie the techniques covered, their purposes, advantages and disadvantages, and valid interpretations, the latter especially with the help of the computer.
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Multivariable Analysis: A Practical Guide for Clinicians
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Mitchell H Katz
Multivariable analysis is a challenging subject for clinicians, whether they are novice researchers or trained practitioners. Most basic biostatistics books do not cover multivariable analysis, while existing multivariable analysis books are dense with mathematical formulas. Multivariable Analysis: A Practical Guide for Clinicians steps aside ...
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Multivariate data analysis
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Joseph F. Hair
For graduate-level courses in Marketing Research, Research Design and Data Analysis . Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used while focusing instead on the fundamental concepts that affect the use of specific ...
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Introductory Statistics
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Sheldon M Ross
In this revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. To quote from the preface, "It is only when a student ...
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Multivariate Statistical Analysis: A Conceptual Introduction
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Sam Kash Kachigan
This classic book provides the much needed conceptual explanations of advanced computer-based multivariate data analysis techniques: correlation and regression analysis, factor analysis, discrimination analysis, cluster analysis, multi-dimensional scaling, perceptual mapping, and more. It closes the gap between spiraling technology and its ...
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Plane Answers to Complex Questions: The Theory of Linear Models
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Ronald Christensen
This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous ...
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Multivariate Statistical Methods
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Morrison
MULTIVARIATE STATISTICAL METHODS fills a void in the marketplace, striking a crucial balance between the technical information and real-world applications of multivariate statistics. Donald Morrison has taught this course at the Wharton School for 33 years, and he has integrated his demonstrably successful teaching style into this textbook.
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Applied Statistics: From Bivariate Through Multivariate Techniques
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Dr. Rebecca M Warner
With an approach that does not require formal mathematics training (equations are accompanied by verbal explanations), this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression, Discriminant Analysis, MANOVA, Factor Analysis, and Binary Logistic Regression. Each chapter presents a ...
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Reading & Understanding More Multivariate Statistics
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Laurence G Grimm (Editor), Paul R Yarnold (Editor)
Since 1995, over 13,000 graduate students and researchers have relied on Reading and Understanding Multivariate Statistics for a basic understanding of the most commonly used multivariate analyses in the research literature today. In Reading and Understanding More Multivariate Statistics, the editors provide the same accessible approach to a new ...
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Introduction to Multivariate Statistical Analysis
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Theodore Wilbur Anderson
Multivariate Statistical Simulation Mark E. Johnson For the researcher in statistics, probability, and operations research involved in the design and execution of a computer-aided simulation study utilizing continuous multivariate distributions, this book considers the properties of such distributions from a unique perspective. With enhancing ...
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Statistical Methods for Rates and Proportions
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Joseph L Fleiss
Other volumes in the Wiley Series in Probability and Mathematical Statistics The Statistical Analysis of Failure Time Data J.D. Kalbfleisch & R.L. Prentice This book collects and unifies statistical models and methods that have been proposed for analyzing failure time data. It considers failure time data that arise when items are placed under ...
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Applied Linear Statistical Models
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Michael H Kutner, PH.D., Chris J Nachtsheim, PH.D., William Li
This new edition of "Applied Linear Statistical Models "retains the book's uniquely straightforward writing style and format while providing you with the latest information and knowledge. Updates include developments and methods in partial regression and residual plots, an entirely new introduction to the "Design of Experiments" section that ...
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Analyzing Multivariate Data
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James M Lattin, Joel E Samaha
Offering the latest teaching and practice of applied multivariate statistics, this text is designed for students who need an applied introduction to the subject. Lattin, Green and Carroll have created a text that addresses the needs of applied students who have advanced beyond the beginning level, but are not yet advanced statistics majors. Their ...
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Applied Linear Statistical Models
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by
Neter
This text uses an applied approach, with an emphasis on the understanding of concepts and exposition by means of examples. Sufficient theoretical information is provided to enable applications of regression analysis to be carried out. Case studies are used to illustrate many of the statistical methods. There is coverage of composite designs for ...
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An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications
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Terry E Duncan
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader's familiarity with analysis of ...
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Multivariate data analysis with readings
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Hair
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Simulation
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Sheldon M Ross
Ross' "Simulation, Fourth Edition" introduces aspiring and practising actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena. Readers learn to apply results of these analyses to problems in a wide variety of fields to obtain effective, ...
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Methods of Multivariate Analysis
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Alvin C. Rencher
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. ...
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Applied Multivariate Statistics for the Social Sciences, Fourth Edition
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James P Stevens
This best-selling text, is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts of the major statistical ...
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