Multivariate Data Analysis

Author: Joseph Hair
Publisher: Pearson Higher Ed
ISBN: 0133792684
Format: PDF, Docs
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Multivariate Data Analysis

Author: Joseph F. Hair (Jr)
Publisher:
ISBN: 9781292021904
Format: PDF, ePub, Mobi
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Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.

Multivariate Data Analysis Pearson New International Edition

Author: Joseph F. Hair
Publisher: Pearson Higher Ed
ISBN: 1292035110
Format: PDF, ePub
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For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Multivariate Data Analysis

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1619062917
Format: PDF, Docs
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Facts101 is your complete guide to Multivariate Data Analysis. In this book, you will learn topics such as Exploratory Factor Analysis, Multiple Regression Analysis, Multiple Discriminant Analysis, and Logistic Regression: Regression with a Binary Dependent Variable plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Robust Multivariate Analysis

Author: David J. Olive
Publisher: Springer
ISBN: 3319682539
Format: PDF, ePub, Docs
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This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author’s website.

Designing and Managing a Research Project

Author: Michael Jay Polonsky
Publisher: SAGE
ISBN: 1412977754
Format: PDF, Docs
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This practical, step-by-step guide shows business students how to successfully conduct a research project, from choosing the topic to presenting the results. The book is divided into sections on preparing and planning the project, undertaking the research, and communicating the results. The authors have applied their many years of experience in supervising student projects to provide examples of actual research problems and to offer practical solutions. Unique to this book is the inclusion of chapters on topics such as supervision, group work and ethics, and both qualitative and quantitative data analysis. This student-friendly guide will be ideal for supporting undergraduate research projects in business and management, as well as MBA assignments and other graduate classes in applied fields such as public administration and health care administration.

The SAGE Dictionary of Statistics Methodology

Author: W. Paul Vogt
Publisher: SAGE Publications
ISBN: 1483381781
Format: PDF, Mobi
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Written in a clear, readable style with a wide range of explanations and examples, The SAGE Dictionary of Statistics & Methodology, Fifth Edition by W. Paul Vogt and R. Burke Johnson is a must-have dictionary that reflects recent changes in the fields of statistics and methodology. Packed with 500 new definitions, terms, and graphics, the Fifth Edition is an ideal reference for researchers and professionals in the field and provides everything students need to read and understand a research report, including elementary terms, concepts, methodology, and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.

Using R With Multivariate Statistics

Author: Randall E. Schumacker
Publisher: SAGE Publications
ISBN: 1483377970
Format: PDF, Kindle
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Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.

Essentials of Business Research Methods

Author: Joseph F. Hair, Jr
Publisher: Routledge
ISBN: 1317471237
Format: PDF, Docs
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Managers increasingly must make decisions based on almost unlimited information. How can they navigate and organize this vast amount of data? Essentials of Business Research Methods provides research techniques for people who aren't data analysts. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make clear business decisions. They include such critical topics as the increasing role of online research, ethical issues, data mining, customer relationship management, and how to conduct information-gathering activities more effectively in a rapidly changing business environment. This is the only such book that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive and much easier to understand than in other works. The book features a realistic continuing case throughout the text that enables students to see how business research information is used in the real world. It includes applied research examples in all chapters, as well as Ethical Dilemma mini - cases, and interactive Internet applications and exercises.

Trends and Research in the Decision Sciences

Author: Decision Sciences Institute
Publisher: FT Press
ISBN: 0133925536
Format: PDF, ePub, Docs
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Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.