A Primer Of Multivariate Statistics

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A Primer of Multivariate Statistics

Richard J. Harris
A Primer of Multivariate Statistics Book PDF

Author : Richard J. Harris
Publisher : Psychology Press
Page : 635 pages
File Size : 55,9 Mb
Release : 2001-05-01
Category : Psychology
ISBN : 9781135555368

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A Primer of Multivariate Statistics by Richard J. Harris Pdf

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

A Primer of Multivariate Statistics

Richard J. Harris
A Primer of Multivariate Statistics Book PDF

Author : Richard J. Harris
Publisher : Psychology Press
Page : 632 pages
File Size : 43,5 Mb
Release : 2001-05-01
Category : Psychology
ISBN : 9781135555436

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A Primer of Multivariate Statistics by Richard J. Harris Pdf

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

A Primer of Multivariate Statistics

Richard J. Harris
A Primer of Multivariate Statistics Book PDF

Author : Richard J. Harris
Publisher : Psychology Press
Page : 0 pages
File Size : 41,9 Mb
Release : 2013-05-03
Category : Multivariate analysis
ISBN : 0415645581

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A Primer of Multivariate Statistics by Richard J. Harris Pdf

This text is intended to give students a thorough grounding in multivariate stats, including multiple regression, MANOVA, canonical correlation, factor analysis, and related topics. Previously published by HB/AP.

Multivariate Statistical Methods

Bryan F.J. Manly
Multivariate Statistical Methods Book PDF

Author : Bryan F.J. Manly
Publisher : CRC Press
Page : 228 pages
File Size : 41,7 Mb
Release : 2004-07-06
Category : Mathematics
ISBN : 1584884142

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Multivariate Statistical Methods by Bryan F.J. Manly Pdf

Multivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be used. Multivariate Statistical Methods: A Primer, Third Edition introduces these methods and provides a general overview of the techniques without overwhelming you with comprehensive details. This thoroughly revised, updated edition of a best-selling introductory text retains the author's trademark clear, concise style but includes a range of new material, new exercises, and supporting materials on the Web. New in the Third Edition: Fully updated references Additional examples and exercises from the social and environmental sciences A comparison of the various statistical software packages, including Stata, Statistica, SAS Minitab, and Genstat, particularly in terms of their ease of use by beginners In his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book provides a timely introduction to useful tools for statistical analysis.

Multivariate Statistical Methods

Bryan F.J. Manly,Jorge A. Navarro Alberto
Multivariate Statistical Methods Book PDF

Author : Bryan F.J. Manly,Jorge A. Navarro Alberto
Publisher : CRC Press
Page : 227 pages
File Size : 43,7 Mb
Release : 2016-11-03
Category : Mathematics
ISBN : 9781498728997

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Multivariate Statistical Methods by Bryan F.J. Manly,Jorge A. Navarro Alberto Pdf

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.

Introduction to Multivariate Statistical Analysis in Chemometrics

Kurt Varmuza,Peter Filzmoser
Introduction to Multivariate Statistical Analysis in Chemometrics Book PDF

Author : Kurt Varmuza,Peter Filzmoser
Publisher : CRC Press
Page : 336 pages
File Size : 51,6 Mb
Release : 2016-04-19
Category : Science
ISBN : 1420059491

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Introduction to Multivariate Statistical Analysis in Chemometrics by Kurt Varmuza,Peter Filzmoser Pdf

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as principal component analysis, regression analysis, classification methods, and clustering. Written by a chemometrician and a statistician, the book reflects the practical approach of chemometrics and the more formally oriented one of statistics. To enable a better understanding of the statistical methods, the authors apply them to real data examples from chemistry. They also examine results of the different methods, comparing traditional approaches with their robust counterparts. In addition, the authors use the freely available R package to implement methods, encouraging readers to go through the examples and adapt the procedures to their own problems. Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data.

The Geometry of Multivariate Statistics

Thomas D. Wickens
The Geometry of Multivariate Statistics Book PDF

Author : Thomas D. Wickens
Publisher : Psychology Press
Page : 216 pages
File Size : 50,5 Mb
Release : 2014-02-25
Category : Psychology
ISBN : 9781317780229

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The Geometry of Multivariate Statistics by Thomas D. Wickens Pdf

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables. This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.

Essentials of Multivariate Data Analysis

Neil H. Spencer
Essentials of Multivariate Data Analysis Book PDF

Author : Neil H. Spencer
Publisher : CRC Press
Page : 186 pages
File Size : 48,9 Mb
Release : 2013-12-17
Category : Mathematics
ISBN : 9781466584792

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Essentials of Multivariate Data Analysis by Neil H. Spencer Pdf

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

Multivariate Statistical Methods

Jorge A. Navarro
Multivariate Statistical Methods Book PDF

Author : Jorge A. Navarro
Publisher : CRC Press
Page : 270 pages
File Size : 40,9 Mb
Release : 2016-11-03
Category : Mathematics
ISBN : 9781498728973

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Multivariate Statistical Methods by Jorge A. Navarro Pdf

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 Statistics for Wildlife and Ecology Research

Kevin McGarigal,Samuel A. Cushman,Susan Stafford
Multivariate Statistics for Wildlife and Ecology Research Book PDF

Author : Kevin McGarigal,Samuel A. Cushman,Susan Stafford
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 53,9 Mb
Release : 2013-12-01
Category : Science
ISBN : 9781461212881

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Multivariate Statistics for Wildlife and Ecology Research by Kevin McGarigal,Samuel A. Cushman,Susan Stafford Pdf

With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and the underlying theory. More importantly, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying them. Whether used as a textbook for specialised courses or as a supplement to general statistics texts, the book emphasises those techniques that students of ecology and natural resources most need to understand and employ in their research. While targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, this book will also be valuable to researchers in any of the biological sciences.

Multivariate Statistics Made Simple

K V S Sarma,R Vishnu Vardhan
Multivariate Statistics Made Simple Book PDF

Author : K V S Sarma,R Vishnu Vardhan
Publisher : CRC Press
Page : 251 pages
File Size : 49,9 Mb
Release : 2018-11-19
Category : Mathematics
ISBN : 9780429877865

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Multivariate Statistics Made Simple by K V S Sarma,R Vishnu Vardhan Pdf

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.

Modern Statistical Methods for Spatial and Multivariate Data

Norou Diawara
Modern Statistical Methods for Spatial and Multivariate Data Book PDF

Author : Norou Diawara
Publisher : Springer
Page : 177 pages
File Size : 42,5 Mb
Release : 2019-06-29
Category : Mathematics
ISBN : 9783030114312

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Modern Statistical Methods for Spatial and Multivariate Data by Norou Diawara Pdf

This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques. Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

Brian S. Everitt
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences Book PDF

Author : Brian S. Everitt
Publisher : CRC Press
Page : 324 pages
File Size : 42,5 Mb
Release : 2009-09-28
Category : Business & Economics
ISBN : 9781439807705

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Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences by Brian S. Everitt Pdf

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring

Understanding Multivariate Research

William Berry
Understanding Multivariate Research Book PDF

Author : William Berry
Publisher : Routledge
Page : 104 pages
File Size : 54,9 Mb
Release : 2018-05-04
Category : Social Science
ISBN : 9780429971914

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Understanding Multivariate Research by William Berry Pdf

Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work.

SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics

Daniel J. Denis
SPSS Data Analysis for Univariate Bivariate and Multivariate Statistics Book PDF

Author : Daniel J. Denis
Publisher : John Wiley & Sons
Page : 222 pages
File Size : 47,9 Mb
Release : 2018-09-25
Category : Mathematics
ISBN : 9781119465812

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SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics by Daniel J. Denis Pdf

Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.