Multivariate Statistics Made Simple
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Multivariate Statistics Made Simple
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Author : K V S Sarma
language : en
Publisher: CRC Press
Release Date : 2018-11-19
Multivariate Statistics Made Simple written by K V S Sarma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Mathematics categories.
This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on.
Multivariate Statistical Analysis
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Author : Mukhopadhyay Parimal
language : en
Publisher: World Scientific Publishing Company
Release Date : 2008-11-25
Multivariate Statistical Analysis written by Mukhopadhyay Parimal and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-25 with Mathematics categories.
This textbook presents a classical approach to some techniques of multivariate analysis in a simple and transparent manner. It offers clear and concise development of the concepts; interpretation of the output of the analysis; and criteria for selection of the methods, taking into account the strengths and weaknesses of each. With its roots in matrix algebra, for which a separate chapter has been added as an appendix, the book includes both data-oriented techniques and a reasonable coverage of classical methods supplemented by comments about robustness and general practical applicability. It also illustrates the methods of numerical calculations at various stages.This self-contained book is ideal as an advanced textbook for graduate students in statistics and other disciplines like social, biological and physical sciences. It will also be of benefit to professional statisticians.The author is a former Professor of the Indian Statistical Institute, India.
Applied Multivariate Statistics With Sas Software
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Author : Ravindra Khattree
language : en
Publisher: Wiley-SAS
Release Date : 1999-04-09
Applied Multivariate Statistics With Sas Software written by Ravindra Khattree and has been published by Wiley-SAS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-04-09 with Mathematics categories.
Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SAS® Software, Second Edition provides a unique approach to this topic, integrating statistical methods, data analysis, and applications. Now extensively revised, the book includes new information on * mixed effects models * applications of the MIXED procedure * regression diagnostics with the correspoding IML procedure code * covariance structures. The authors' approach to the information aids professors, researchers, and students in a variety of disciplines and industries. Extensive SAS code and the corresponding output accompany sample problems, and clear explanations of the various SAS procedures are included. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both the theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. In addition, a quick introduction to the IML procedure with special reference to multivariate data is available in an appendix. SAS programs and output integrated with the text make it easy to read and follow the examples. High-resolution graphs have been used in this new edition.
Multivariate Statistical Methods
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Author : George A. Marcoulides
language : en
Publisher: Psychology Press
Release Date : 2014-01-14
Multivariate Statistical Methods written by George A. Marcoulides and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-14 with Psychology categories.
Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common univariate statistical technique and the corresponding multivariate method. Many computer examples--drawing on SAS software --are used as demonstrations. Throughout the book, the computer is used as an adjunct to the presentation of a multivariate statistical method in an empirically oriented approach. Basically, the model adopted in this book is to first present the theory of a multivariate statistical method along with the basic mathematical computations necessary for the analysis of data. Subsequently, a real world problem is discussed and an example data set is provided for analysis. Throughout the presentation and discussion of a method, many references are made to the computer, output are explained, and exercises and examples with real data are included.
Using Multivariate Statistics
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Author : Barbara G. Tabachnick
language : en
Publisher: Pearson Higher Ed
Release Date : 2013-08-27
Using Multivariate Statistics written by Barbara G. Tabachnick and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-27 with Social Science categories.
A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set – when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Samples Preview sample pages from Using Multivariate Statistics
Easy Statistics For Food Science With R
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Author : Abbas F. M. Alkarkhi
language : en
Publisher: Academic Press
Release Date : 2018-09-18
Easy Statistics For Food Science With R written by Abbas F. M. Alkarkhi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Technology & Engineering categories.
Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs. This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. Contains numerous step-by-step tutorials help the reader to learn quickly Covers the theory and application of the statistical techniques Shows how to analyze data using R software Provides R scripts for all examples and figures
Analysis Of Multivariate Data With Spss
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Author : Jutta Arrenberg
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-09-09
Analysis Of Multivariate Data With Spss written by Jutta Arrenberg and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Mathematics categories.
The book introduces the most important statistical methods for analyzing multivariate data sets. After reading the book, the reader (female, male) is able to autonomously carry out comprehensive statistical analyzes of data. The steps for finding a solution with SPSS are shown in the book. The individual procedures are explained using easy-to-understand examples to ensure learning success. Previous knowledge of statistics is helpful for reading the book, but not essential. The procedures presented are plausible even without prior basic knowledge of statistics. This book was written over a period of twenty semesters and benefited from the questions raised by the listeners in my lecture.
Applied Multivariate Statistical Analysis Classic Version
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Author : Richard A. Johnson
language : en
Publisher: Pearson
Release Date : 2018-03-18
Applied Multivariate Statistical Analysis Classic Version written by Richard A. Johnson and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-18 with Multivariate analysis categories.
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.
Introduction To Multivariate Analysis
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Author : Chris Chatfield
language : en
Publisher: Routledge
Release Date : 2018-02-19
Introduction To Multivariate Analysis written by Chris Chatfield and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Mathematics categories.
This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research,soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.
Advanced Statistics Made Easy Using Ibm Spss
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Author : Jonathan Sarwono
language : en
Publisher:
Release Date : 2017-12-05
Advanced Statistics Made Easy Using Ibm Spss written by Jonathan Sarwono and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-05 with categories.
This book discusses advanced statistics which fall into multivariate statistics category. Most of the procedures described in this book employ more complex variable relationship. Consequently the calculation becomes more difficult. One of the advantages using these procedures is that we can employ many variables in our researches. One of the goals is to get more accurate results due to the more completed explanation. By using the IBM SPSS, the calculation can be made easier for the users. Besides, we can calculate the data very quickly and the result becomes more accurate. The contents of the books are as follows:* Basic Concepts* Classification of Variables' Relationship* Basic Theories Used in IBM SPSS* Multiple Linear Regression with Complex Variables* Canonical Correlation with Complex Variables* Factorial ANOVA* Multiple Discriminant Analysis * Logistic Regression* Multivariate Analysis of Variance (MANOVA)* Cluster Analysis* Multidimensional Scaling* Factor Analysis* Exercises and Samples of Researches