Multivariate Methods And Forecasting With Ibmr Spssr Statistics

Author : Abdulkader Aljandali
Publisher : Springer
ISBN 13 : 3319564811
Total Pages : 185 pages
Book Rating : 4.14/5 ( download)

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Download or read book Multivariate Methods and Forecasting with IBM® SPSS® Statistics written by Abdulkader Aljandali and published by Springer. This book was released on 2017-07-06 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).

Author : R. Darrell Bock
Publisher : Scientific Software International
ISBN 13 : 9780894980145
Total Pages : 680 pages
Book Rating : 4.49/5 ( download)

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Download or read book Multivariate Statistical Methods in Behavioral Research written by R. Darrell Bock and published by Scientific Software International. This book was released on 1985 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Craig A. Mertler
Publisher :
ISBN 13 : 9781003047223
Total Pages : 0 pages
Book Rating : 4.2X/5 ( download)

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Download or read book Advanced and Multivariate Statistical Methods written by Craig A. Mertler and published by . This book was released on 2021-11-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition All references to SPSS have been updated to Version 27.0 of the software. A brief discussion of practical significance has been added to Chapter 1. New data sets have now been incorporated into the book and are used extensively in the SPSS examples. All the SPSS data sets utilized in this edition are available for download via the companion website. Additional resources on this site include several video tutorials/walk-throughs of the SPSS procedures. These "how-to" videos run approximately 5-10 minutes in length. Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing.

Author : Bruce L. Brown
Publisher : John Wiley & Sons
ISBN 13 : 9780470537565
Total Pages : 0 pages
Book Rating : 4.66/5 ( download)

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Download or read book Multivariate Analysis for the Biobehavioral and Social Sciences written by Bruce L. Brown and published by John Wiley & Sons. This book was released on 2011-12-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process, with visual representations accompanying the presented classical multivariate statistical methods . The book begins with a preparatory review of univariate statistical methods recast in matrix notation, followed by an accessible introduction to matrix algebra. Subsequent chapters explore fundamental multivariate methods and related key concepts, including: Factor analysis and related methods Multivariate graphics Canonical correlation Hotelling's T-squared Multivariate analysis of variance (MANOVA) Multiple regression and the general linear model (GLM) Each topic is introduced with a research-publication case study that demonstrates its real-world value. Next, the question "how do you do that?" is addressed with a complete, yet simplified, demonstration of the mathematics and concepts of the method. Finally, the authors show how the analysis of the data is performed using Stata®, SAS®, and SPSS®. The discussed approaches are also applicable to a wide variety of modern extensions of multivariate methods as well as modern univariate regression methods. Chapters conclude with conceptual questions about the meaning of each method; computational questions that test the reader's ability to carry out the procedures on simple datasets; and data analysis questions for the use of the discussed software packages. Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level. The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis and its relevant applications.

Author : Maurice M. Tatsuoka
Publisher : MacMillan Publishing Company
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.57/5 ( download)

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Download or read book Multivariate Analysis written by Maurice M. Tatsuoka and published by MacMillan Publishing Company. This book was released on 1988 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : James Paul Stevens
Publisher : Psychology Press
ISBN 13 : 9781135650872
Total Pages : 720 pages
Book Rating : 4.7X/5 ( download)

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Download or read book Applied Multivariate Statistics for the Social Sciences written by James Paul Stevens and published by Psychology Press. This book was released on 2001 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use the packages effectively, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size (by providing guidelines) so that the results can be generalized. The new edition features a CD-ROM with the data sets and many new exercises. Ideal for courses on advanced or multivariate statistics found in psychology, education, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial analysis of variance. It does not assume a working knowledge of matrix algebra.

Author : William W. Cooley
Publisher :
ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.16/5 ( download)

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Download or read book Multivariate Data Analysis written by William W. Cooley and published by . This book was released on 1971 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Wolfgang Karl Härdle
Publisher : Springer
ISBN 13 : 9783642360046
Total Pages : 362 pages
Book Rating : 4.41/5 ( download)

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Download or read book Multivariate Statistics written by Wolfgang Karl Härdle and published by Springer. This book was released on 2015-06-12 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All data sets are included in the library SMSdata that may be downloaded via the quantlet download center www.quantlet.org. Data sets are available also via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.

Author : Donald F. Morrison
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.79/5 ( download)

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Download or read book Multivariate Statistical Methods written by Donald F. Morrison and published by McGraw-Hill Companies. This book was released on 1976 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes index, bibliography, appendix: tables and charts

Author : William R. Dillon
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 616 pages
Book Rating : 4.15/5 ( download)

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Download or read book Multivariate Analysis written by William R. Dillon and published by John Wiley & Sons. This book was released on 1984-08-22 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Sensitivity in Econometric Models Edwin Kuh, John W. Neese and Peter Hollinger Provides a pathbreaking assessment of the worth of linear dynamic systems methods for probing the behavior of complex macroeconomic models. Representing a major improvement upon the standard "black box" approach to analyzing economic model structure, it introduces the powerful concept of parameter sensitivity analysis within a linear systems root/vector framework. The approach is illustrated with a good mediumsize econometric model (Michigan Quarterly Econometric Model of the United States). EISPACK, the Fortran code for computing characteristic roots and vectors has been upgraded and augmented by a model linearization code and a broader algorithmic framework. Also features an interface between the algorithmic code and the interactive modeling system (TROLL), making an unusually wide range of linear systems methods accessible to economists, operations researchers, engineers and physical scientists. 1985 (0-471-81930-1) 324 pp. Linear Statistical Models and Related Methods With Applications to Social Research John Fox A comprehensive, modern treatment of linear models and their variants and extensions, combining statistical theory with applied data analysis. Considers important methodological principles underlying statistical methods. Designed for researchers and students who wish to apply these models to their own work in a flexible manner. 1984 (0 471-09913-9) 496 pp. Statistical Methods for Forecasting Bovas Abraham and Johannes Ledolter This practical, user-oriented book treats the statistical methods and models used to produce short-term forecasts. Provides an intermediate level discussion of a variety of statistical forecasting methods and models and explains their interconnections, linking theory and practice. Includes numerous time-series, autocorrelations, and partial autocorrelation plots. 1983 (0 471-86764-0) 445 pp.