Testing Research Hypotheses With The General Linear Model
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Author | : Keith A. McNeil |
Publisher | : SIU Press |
Total Pages | : 400 |
Release | : 1996 |
Genre | : Mathematics |
ISBN | : 9780809320196 |
Download Testing Research Hypotheses with the General Linear Model Book in PDF, Epub and Kindle
Briefly describes 777 serial bibliographies relating to modern literature in most of the major languages. Chapters cover comprehensive bibliographies, those for English and foreign literatures, for topics from African American studies to women's studies, and for particular authors. The 1982 edition has been updated and expanded to include information on electronic serial bibliographies. Paper edition (unseen), $19.75. Annotation copyright by Book News, Inc., Portland, OR
Author | : Keith A. McNeil |
Publisher | : |
Total Pages | : 587 |
Release | : 1975 |
Genre | : |
ISBN | : |
Download Testing Research Hypotheses with the General Linear Regression Book in PDF, Epub and Kindle
Author | : Keith A. McNeil |
Publisher | : |
Total Pages | : 0 |
Release | : 2012 |
Genre | : Linear models (Statistics) |
ISBN | : 9780761857686 |
Download Designing General Linear Models to Test Research Hypotheses Book in PDF, Epub and Kindle
The authors discuss General Linear Models specifically designed to statistically test research hypotheses that deal with the differences among group means, relationships between continuous variables, analysis of covariance, interaction effects, nonlinear relationships, and repeated measures. Illustrations of the various analyses using Microsoft Excel and SPSS for Windows are presented.
Author | : Olga P. Hackney |
Publisher | : |
Total Pages | : 282 |
Release | : 1976 |
Genre | : Statistical hypothesis testing |
ISBN | : |
Download Hypothesis Testing in the General Linear Model Book in PDF, Epub and Kindle
Author | : Robert E. Odeh |
Publisher | : CRC Press |
Total Pages | : 218 |
Release | : 2020-08-12 |
Genre | : Mathematics |
ISBN | : 1000147924 |
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A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione
Author | : Keith A. McNeil |
Publisher | : |
Total Pages | : 616 |
Release | : 1975 |
Genre | : Mathematics |
ISBN | : |
Download Testing Research Hypotheses Using Multiple Linear Regression Book in PDF, Epub and Kindle
Multiple regression is becomingmore widely used as the statistical technique for answering research hypotheses. This is so for several reasons: 1) the technique is extremely versatile; 2) the computer has made the technique more available to researchers; and 3) texts such as the authors' earlier work are making the technique more available to researchers. The statistical technique of multiple regression allows the inclusion of numerous continuous (quantitative) and categorical (qualitative) variables in the prediction of some criterion. Appendixes contain a multiple regression computer program and data on which the problems are based; a discussion of the similarities and differences between analysis of variance and multiple regression; and a computer program providing the regression solution to natural language research hypotheses.
Author | : George Arthur Frederick Seber |
Publisher | : |
Total Pages | : 132 |
Release | : 1980 |
Genre | : Mathematical statistics |
ISBN | : |
Download The Linear Hypothesis Book in PDF, Epub and Kindle
Author | : George Seber |
Publisher | : Springer |
Total Pages | : 208 |
Release | : 2015-10-08 |
Genre | : Mathematics |
ISBN | : 3319219308 |
Download The Linear Model and Hypothesis Book in PDF, Epub and Kindle
This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
Author | : Richard F. Haase |
Publisher | : SAGE |
Total Pages | : 225 |
Release | : 2011-11-23 |
Genre | : Mathematics |
ISBN | : 1412972493 |
Download Multivariate General Linear Models Book in PDF, Epub and Kindle
This title provides an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). It defines the key steps in analyzing linear model data and introduces multivariate linear model analysis as a generalization of the univariate model. Richard F. Haase focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy.
Author | : Karl-Rudolf Koch |
Publisher | : Springer Science & Business Media |
Total Pages | : 366 |
Release | : 1999-04 |
Genre | : Mathematics |
ISBN | : 9783540652571 |
Download Parameter Estimation and Hypothesis Testing in Linear Models Book in PDF, Epub and Kindle
The necessity to publish the second edition of this book arose when its third German edition had just been published. This second English edition is there fore a translation of the third German edition of Parameter Estimation and Hypothesis Testing in Linear Models, published in 1997. It differs from the first English edition by the addition of a new chapter on robust estimation of parameters and the deletion of the section on discriminant analysis, which has been more completely dealt with by the author in the book Bayesian In ference with Geodetic Applications, Springer-Verlag, Berlin Heidelberg New York, 1990. Smaller additions and deletions have been incorporated, to im prove the text, to point out new developments or to eliminate errors which became apparent. A few examples have been also added. I thank Springer-Verlag for publishing this second edition and for the assistance in checking the translation, although the responsibility of errors remains with the author. I also want to express my thanks to Mrs. Ingrid Wahl and to Mrs. Heidemarlen Westhiiuser who prepared the second edition. Bonn, January 1999 Karl-Rudolf Koch Preface to the First Edition This book is a translation with slight modifications and additions of the second German edition of Parameter Estimation and Hypothesis Testing in Linear Models, published in 1987.