Sinossi
By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
"Allen's book will, no doubt, earn the praises of statistics instructors and students alike...Provides the reader a thorough, yet lucid, journey through a variety of statistical concepts...This gem should be made a part of every prospective statistician's collection. Undergraduates through professional."
(Choice, March 1998)
Contenuti
The Origins and Uses of Regression Analysis. Basic Matrix Algebra: Manipulating Vectors. The Mean and Variance of a Variable. Regression Models and Linear Functions. Errors of Prediction and Least-Squares Estimation. Least-Squares Regression and Covariance. Covariance and Linear Independence. Separating Explained and Error Variance. Transforming Variables to Standard Form. Regression Analysis with Standardized Variables. Populations, Samples, and Sampling Distributions. Sampling Distributions and Test Statistics. Testing Hypotheses Using the t Test. The t Test for the Simple Regression Coefficient. More Matrix Algebra: Manipulating Matrices. The Multiple Regression Model. Normal equations and Partial Regression Coefficients. Partial Regression and Residualized Variables. The Coefficient of Determination in Multiple Regression. Standard Errors of Partial Regression Coefficients. The Incremental Contributions of Variables. Testing Simple Hypotheses Using the F Test. Testing Compound Hypotheses Using the F Test. Testing Hypotheses in Nested Regression Models. Testing for Interaction in Multiple Regression. Nonlinear Relationships and Variable Transformations. 13 Additional Chapters. Appendices. Index.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss: -descriptive statistics using vector notation and the components of a simple regression model;-the logic of sampling distributions and simple hypothesis testing; -the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and -structural equation models and influence statistics. 232 pp. Englisch. Codice articolo 9780306484339
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of. Codice articolo 5903731
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Understanding Regression Analysis
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss:descriptive statistics using vector notation and the components of a simple regression model;the logic of sampling distributions and simple hypothesis testing;the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, andstructural equation models and influence statistics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch. Codice articolo 9780306484339
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss: -descriptive statistics using vector notation and the components of a simple regression model;-the logic of sampling distributions and simple hypothesis testing; -the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and -structural equation models and influence statistics. Codice articolo 9780306484339
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