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Advanced and Multivariate Statistical Methods

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Release : 2021-11-29
Genre : Psychology
Kind : eBook
Book Rating : 305/5 ( reviews)

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Book Synopsis Advanced and Multivariate Statistical Methods by : Craig A. Mertler

Download or read book Advanced and Multivariate Statistical Methods written by Craig A. Mertler. This book was released on 2021-11-29. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced and Multivariate Statistical Methods

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Author :
Release : 2016-10-24
Genre : Mathematics
Kind : eBook
Book Rating : 670/5 ( reviews)

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Book Synopsis Advanced and Multivariate Statistical Methods by : Craig A. Mertler

Download or read book Advanced and Multivariate Statistical Methods written by Craig A. Mertler. This book was released on 2016-10-24. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition. All SPSS directions and screenshots have been updated to Version 23 of the software. Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction. Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.

Modern Multivariate Statistical Techniques

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Release : 2009-03-02
Genre : Mathematics
Kind : eBook
Book Rating : 897/5 ( reviews)

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Book Synopsis Modern Multivariate Statistical Techniques by : Alan J. Izenman

Download or read book Modern Multivariate Statistical Techniques written by Alan J. Izenman. This book was released on 2009-03-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Multivariate Statistics with Matrices

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Release : 2006-03-30
Genre : Mathematics
Kind : eBook
Book Rating : 199/5 ( reviews)

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Book Synopsis Advanced Multivariate Statistics with Matrices by : Tõnu Kollo

Download or read book Advanced Multivariate Statistics with Matrices written by Tõnu Kollo. This book was released on 2006-03-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate Statistical Methods

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Release : 2021-10-26
Genre : Mathematics
Kind : eBook
Book Rating : 924/5 ( reviews)

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Book Synopsis Multivariate Statistical Methods by : György Terdik

Download or read book Multivariate Statistical Methods written by György Terdik. This book was released on 2021-10-26. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The main tool used for the definitions is the tensor derivative, leading to several useful expressions concerning Hermite polynomials, moments, cumulants, skewness, and kurtosis. A general test of multivariate skewness and kurtosis is obtained from this treatment. Exercises are provided for each chapter to help the readers understand the methods. Lastly, the book includes a comprehensive list of references, equipping readers to explore further on their own.

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