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Multivariate Statistical Simulation

2013-11-11 Mathematics
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Release : 2013-11-11
Genre : Mathematics
Kind : eBook
Book Rating : 732/5 ( reviews)

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Book Synopsis Multivariate Statistical Simulation by : Mark E. Johnson

Download or read book Multivariate Statistical Simulation written by Mark E. Johnson. This book was released on 2013-11-11. Available in PDF, EPUB and Kindle. Book excerpt: Provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous multivariate distributions. Concise writing style makes the book accessible to a wide audience. Well-known multivariate distributions are described, emphasizing a few representative cases from each distribution. Coverage includes Pearson Types II and VII elliptically contoured distributions, Khintchine distributions, and the unifying class for the Burr, Pareto, and logistic distributions. Extensively illustrated--the figures are unique, attractive, and reveal very nicely what distributions ``look like.'' Contains an extensive and up-to-date bibliography culled from journals in statistics, operations research, mathematics, and computer science.

Multivariate Statistical Simulation

1992
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Release : 1992
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Multivariate Statistical Simulation by : Mark e.. Johnson

Download or read book Multivariate Statistical Simulation written by Mark e.. Johnson. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Statistical Modeling in Engineering and Management

2022-10-25 Business & Economics
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Release : 2022-10-25
Genre : Business & Economics
Kind : eBook
Book Rating : 420/5 ( reviews)

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Book Synopsis Multivariate Statistical Modeling in Engineering and Management by : Jhareswar Maiti

Download or read book Multivariate Statistical Modeling in Engineering and Management written by Jhareswar Maiti. This book was released on 2022-10-25. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution. Key features: Links data generation process with statistical distributions in multivariate domain Provides step by step procedure for estimating parameters of developed models Provides blueprint for data driven decision making Includes practical examples and case studies relevant for intended audiences The book will help everyone involved in data driven problem solving, modeling and decision making.

An Introduction to Multivariate Statistical Analysis

1984-09-28 Mathematics
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Release : 1984-09-28
Genre : Mathematics
Kind : eBook
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Book Synopsis An Introduction to Multivariate Statistical Analysis by : Theodore W. Anderson

Download or read book An Introduction to Multivariate Statistical Analysis written by Theodore W. Anderson. This book was released on 1984-09-28. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction; 2. The multivariate normal distribution; 3. Estimation of the mean vector and the covariance matrix; 4. Distributions and uses of sample correlation coefficients; 5. The generalized T2-Statistic; 6. Classification of observations; 7. The distribution of the sample covariance matrix and the sample generalized variance; 8. Testing the general linear hypothesis; Multivariate analysis of variance; 9. Testing independence of sets of variates; 10. Testing hypothesis of equality of coariance matrices and equality of mean vectors and covariance matrices; 11. Principal components; 12. Canonical correlations and canonical variables; 13. The distributions of characteristic roots and vectors; 14. Factor analysis.

An Introduction to Applied Multivariate Analysis with R

2011-04-23 Mathematics
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Release : 2011-04-23
Genre : Mathematics
Kind : eBook
Book Rating : 508/5 ( reviews)

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Book Synopsis An Introduction to Applied Multivariate Analysis with R by : Brian Everitt

Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt. This book was released on 2011-04-23. Available in PDF, EPUB and Kindle. Book excerpt: The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.

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