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Advanced and Multivariate Statistical Methods

Author : Craig A. Mertler

Publisher : Taylor & Francis

Page : 351 pages

File Size : 12,8 MB

Release : 2021-11-29

Category : Psychology

ISBN : 1000480305

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Book Description

Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition All references to SPSS have been updated to Version 27.0 of the software. A brief discussion of practical significance has been added to Chapter 1. New data sets have now been incorporated into the book and are used extensively in the SPSS examples. All the SPSS data sets utilized in this edition are available for download via the companion website. Additional resources on this site include several video tutorials/walk-throughs of the SPSS procedures. These "how-to" videos run approximately 5–10 minutes in length. Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing.



Advances in Multivariate Statistical Methods

Author : Ashis Sengupta

Publisher : World Scientific

Page : 492 pages

File Size : 41,3 MB

Release : 2009

Category : Mathematics

ISBN : 9812838236

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Book Description

Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session



Essentials of Multivariate Data Analysis

Author : Neil H. Spencer

Publisher : CRC Press

Page : 186 pages

File Size : 45,96 MB

Release : 2013-12-17

Category : Mathematics

ISBN : 1466584793

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Book Description

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research. Unlike m



Advanced Multivariate Statistics with Matrices

Author : Tõnu Kollo

Publisher : Springer Science & Business Media

Page : 503 pages

File Size : 47,81 MB

Release : 2006-03-30

Category : Mathematics

ISBN : 1402034199

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Book Description

The book presents important tools and techniques for treating problems in m- ern multivariate statistics in a systematic way. The ambition is to indicate new directions as well as to present the classical part of multivariate statistical analysis in this framework. The book has been written for graduate students and statis- cians who are not afraid of matrix formalism. The goal is to provide them with a powerful toolkit for their research and to give necessary background and deeper knowledge for further studies in di?erent areas of multivariate statistics. It can also be useful for researchers in applied mathematics and for people working on data analysis and data mining who can ?nd useful methods and ideas for solving their problems. Ithasbeendesignedasatextbookforatwosemestergraduatecourseonmultiva- ate statistics. Such a course has been held at the Swedish Agricultural University in 2001/02. On the other hand, it can be used as material for series of shorter courses. In fact, Chapters 1 and 2 have been used for a graduate course ”Matrices in Statistics” at University of Tartu for the last few years, and Chapters 2 and 3 formed the material for the graduate course ”Multivariate Asymptotic Statistics” in spring 2002. An advanced course ”Multivariate Linear Models” may be based on Chapter 4. A lot of literature is available on multivariate statistical analysis written for di?- ent purposes and for people with di?erent interests, background and knowledge.



Matrix-Based Introduction to Multivariate Data Analysis

Author : Kohei Adachi

Publisher : Springer

Page : 298 pages

File Size : 23,48 MB

Release : 2016-10-11

Category : Mathematics

ISBN : 9811023417

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Book Description

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra. The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.



Applied Statistics and Multivariate Data Analysis for Business and Economics

Author : Thomas Cleff

Publisher : Springer

Page : 488 pages

File Size : 17,49 MB

Release : 2019-07-10

Category : Business & Economics

ISBN : 303017767X

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Book Description

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.





Advances in Multivariate Data Analysis

Author : Classification Group of SIS. Meeting

Publisher : Springer Science & Business Media

Page : 300 pages

File Size : 20,10 MB

Release : 2004-04-20

Category : Business & Economics

ISBN : 9783540208891

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Book Description

The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology.



Modern Multivariate Statistical Techniques

Author : Alan J. Izenman

Publisher : Springer Science & Business Media

Page : 757 pages

File Size : 37,15 MB

Release : 2009-03-02

Category : Mathematics

ISBN : 0387781897

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Book Description

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.



Multivariate Data Analysis

Author : Joseph Hair

Publisher : Pearson Higher Ed

Page : 816 pages

File Size : 32,43 MB

Release : 2016-08-18

Category : Business & Economics

ISBN : 0133792684

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Book Description

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.