Methods Of Multivariate Analysis
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Methods Of Multivariate Analysis
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Author : Alvin C. Rencher
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-15
Methods Of Multivariate Analysis written by Alvin C. Rencher and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-15 with Mathematics categories.
Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere." IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. This Third Edition continues to explore the key descriptive and inferential procedures that result from multivariate analysis. Following a brief overview of the topic, the book goes on to review the fundamentals of matrix algebra, sampling from multivariate populations, and the extension of common univariate statistical procedures (including t-tests, analysis of variance, and multiple regression) to analogous multivariate techniques that involve several dependent variables. The latter half of the book describes statistical tools that are uniquely multivariate in nature, including procedures for discriminating among groups, characterizing low-dimensional latent structure in high-dimensional data, identifying clusters in data, and graphically illustrating relationships in low-dimensional space. In addition, the authors explore a wealth of newly added topics, including: Confirmatory Factor Analysis Classification Trees Dynamic Graphics Transformations to Normality Prediction for Multivariate Multiple Regression Kronecker Products and Vec Notation New exercises have been added throughout the book, allowing readers to test their comprehension of the presented material. Detailed appendices provide partial solutions as well as supplemental tables, and an accompanying FTP site features the book's data sets and related SAS® code. Requiring only a basic background in statistics, Methods of Multivariate Analysis, Third Edition is an excellent book for courses on multivariate analysis and applied statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for both statisticians and researchers across a wide variety of disciplines.
Methods Of Multivariate Statistics
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Author : Muni S. Srivastava
language : en
Publisher: John Wiley & Sons
Release Date : 2002-07-08
Methods Of Multivariate Statistics written by Muni S. Srivastava and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-08 with Mathematics categories.
Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now within reach of most researchers and data analysts. With an emphasis on computing techniques in combination with a full understanding of the mathematics behind the methods, Methods of Multivariate Statistics offers an up-to-date account of multivariate methods. Focusing on the maximum likelihood method for estimation, testing of hypotheses, and "profile analysis," this book offers comprehensive discussions of commonly encountered multivariate data and also covers some practical and important problems lacking in other texts. These include: * Missing at-random observations * "Growth Curve Models" and multivariate one-sided tests applicable in pharmaceutical and medical trials * Bootstrap methods * Principal component method for predicting a multivariate response vector * Outlier detection and handling inference when covariance is singular With clear chapter introductions and numerous problem sets, Methods of Multivariate Statistics meets every statistician's need for a comprehensive investigation of the latest methods in multivariate statistics.
Computational Methods Of Multivariate Analysis In Physical Geography
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Author : Paul M. Mather
language : en
Publisher: John Wiley & Sons
Release Date : 1976
Computational Methods Of Multivariate Analysis In Physical Geography written by Paul M. Mather and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Science categories.
An Introduction To Applied Multivariate Analysis With R
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Author : Brian Everitt
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-23
An Introduction To Applied Multivariate Analysis With R written by Brian Everitt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-23 with Mathematics categories.
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.
Multivariate Analysis
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Author : Maurice M. Tatsuoka
language : en
Publisher: MacMillan Publishing Company
Release Date : 1988
Multivariate Analysis written by Maurice M. Tatsuoka and has been published by MacMillan Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Mathematics categories.
Nonparametric Methods In Multivariate Analysis
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Author : P.K. Sen
language : en
Publisher:
Release Date : 1941
Nonparametric Methods In Multivariate Analysis written by P.K. Sen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1941 with categories.
Multivariate Analysis
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Author : Klaus Backhaus
language : en
Publisher: Springer Nature
Release Date : 2023-06-28
Multivariate Analysis written by Klaus Backhaus and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Business & Economics categories.
Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods. For the 2nd edition, all chapters were checked and calculated using the current version of IBM SPSS. Contents Introduction to empirical data analysis Regression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis The original German version is now available in its 17th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as “the textbook that has shaped market research and practice in German-speaking countries”. A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.
Multivariate Statistical Methods
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Author : Jorge A. Navarro Alberto
language : en
Publisher: CRC Press
Release Date : 2016-11-03
Multivariate Statistical Methods written by Jorge A. Navarro Alberto and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-03 with Mathematics categories.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.
Multivariate Analysis Of Variance
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Author : James H. Bray
language : en
Publisher: SAGE
Release Date : 1985
Multivariate Analysis Of Variance written by James H. Bray and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.
Analysis of variance (ANOVA) is one of the most frequently employed statistical techniques in the social sciences because it provides a flexible methodology for testing differences among means. This monograph considers the multivariate form of analysis of variance (MANOVA) and represents a logical extension of an earlier paper in this series, Analysis of Variance. It provides a unique perspective for readers seeking to understand how MANOVA works and how to interpret MANOVA analyses.
Research Methodology Concepts Techniques And Applications
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Author : Dr. Anamika Shrivastava
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-09-04
Research Methodology Concepts Techniques And Applications written by Dr. Anamika Shrivastava and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Study Aids categories.
A thorough manual on the theoretical underpinnings, methods, and real-world applications of research is called Research Methodology: Concepts, Techniques, and Applications. The book, which is appropriate for professionals, academics, and students alike, offers a comprehensive overview of research procedures from a variety of fields and was written by subject matter experts. The book provides an in-depth description of both qualitative and quantitative methodologies, covering important topics and terminology related to research. It describes the steps involved in doing research, including developing a research issue, creating research frameworks, gathering information, interpreting findings, and presenting findings. The book’s methodical style aids readers in understanding the subtleties of scientific investigation and data interpretation, both of which are necessary for carrying out trustworthy and legitimate research. The book’s emphasis on the many research methodologies, such as statistical analyses, measuring instruments, and sampling strategies, is one of its most important features. It covers the significance of accuracy and precision in data gathering as well as the appropriate use of statistical tools in data analysis. The book is applicable in today’s technologically enhanced research environment since it also discusses contemporary themes like big data and AI-driven research. Its focus on the ethical dimensions of research, which makes sure that readers comprehend the significance of honesty, permission, and openness in research processes, is one of its hallmarks. It also explores how to present the results, including how to write reports, correctly cite sources, and use charts and graphs to graphically represent the data.