Analyzing Multivariate Data PDF Download
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Author | : James M. Lattin |
Publisher | : Duxbury Press |
Total Pages | : 556 |
Release | : 2003 |
Genre | : Mathematics |
ISBN | : 9780534349745 |
Download Analyzing Multivariate Data Book in PDF, ePub and Kindle
Offering the latest teaching and practice of applied multivariate statistics, this text is perfect for students who need an applied introduction to the subject. Lattin, Carroll, and Green have created a text that speaks to the needs of applied students who have advanced beyond the beginning level, but are not advanced statistics majors. The text provides a three-part structure. First, the authors begin each major topic by developing students' statistical intuition through applications. Then, they providing illustrative examples for support. Finally, for those courses where it will be valuable, they describe relevant mathematical underpinnings with vectors and matrix algebra. Additionally, each chapter follows a standard format. This format begins by discussing a general set of research objectives, followed by illustrative examples of problems in different areas. Then it provides an explanation of how each method works, followed by a sample problem, application of the technique, and interpretation of results.
Author | : Joseph Hair |
Publisher | : Pearson Higher Ed |
Total Pages | : 816 |
Release | : 2016-08-18 |
Genre | : Business & Economics |
ISBN | : 0133792684 |
Download Multivariate Data Analysis Book in PDF, ePub and Kindle
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
Author | : Brian Everitt |
Publisher | : Springer Science & Business Media |
Total Pages | : 284 |
Release | : 2011-04-23 |
Genre | : Mathematics |
ISBN | : 1441996508 |
Download An Introduction to Applied Multivariate Analysis with R Book in PDF, ePub and Kindle
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.
Author | : John Spicer |
Publisher | : SAGE |
Total Pages | : 256 |
Release | : 2005 |
Genre | : Mathematics |
ISBN | : 9781412904018 |
Download Making Sense of Multivariate Data Analysis Book in PDF, ePub and Kindle
A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.
Author | : Paul E. Green |
Publisher | : |
Total Pages | : 546 |
Release | : 1978 |
Genre | : Mathematics |
ISBN | : |
Download Analyzing Multivariate Data Book in PDF, ePub and Kindle
Single criterion, multiple predictor association; Multiple criterion, multiple predictor association; The analysis of interdependence.
Author | : Abdelmonem Afifi |
Publisher | : CRC Press |
Total Pages | : 528 |
Release | : 2019-10-16 |
Genre | : Mathematics |
ISBN | : 1351788906 |
Download Practical Multivariate Analysis Book in PDF, ePub and Kindle
This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.
Author | : Michel Jambu |
Publisher | : Elsevier |
Total Pages | : 489 |
Release | : 1991-09-09 |
Genre | : Mathematics |
ISBN | : 0080923674 |
Download Exploratory and Multivariate Data Analysis Book in PDF, ePub and Kindle
With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques. Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques
Author | : Norman Cliff |
Publisher | : |
Total Pages | : 536 |
Release | : 1987 |
Genre | : Multivariate analysis |
ISBN | : |
Download Analyzing Multivariate Data Book in PDF, ePub and Kindle
Author | : Miodrag Lovric |
Publisher | : Springer Science & Business Media |
Total Pages | : 0 |
Release | : 2010-12-01 |
Genre | : Mathematics |
ISBN | : 3642048978 |
Download International Encyclopedia of Statistical Science Book in PDF, ePub and Kindle
The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
Author | : Robert Ho |
Publisher | : CRC Press |
Total Pages | : 426 |
Release | : 2006-03-24 |
Genre | : Mathematics |
ISBN | : 1420011111 |
Download Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS Book in PDF, ePub and Kindle
Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of s