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Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor by using larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
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Richard Berk identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.
Regression analysis. --- Social sciences --- Statistical methods.
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Analysis of variance --- Regression analysis --- Analyse de variance --- Analyse de régression --- Regression Analysis --- Analyse de régression
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Stream measurements --- Regression analysis --- Mathematical models. --- Data processing. --- Russell Fiord (Alaska)
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Stream measurements --- Regression analysis --- Mathematical models. --- Data processing. --- Russell Fiord (Alaska)
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Unlike existing monographs, this_book_is written at a technical level that_ensures that the material is accessible to a broad audience of researchers and graduate students in the health and medical sciences, as well as pharmaceutical studies._The methods are presented in the setting of numerous applications to real data_drawn from studies in the health sciences._ This book_provides a rigorous and comprehensive description of modern methods for analyzing repeated measures and longitudinal data. In addition, the book_includes a description of modern methods of regression analysis for correlated data. The latter_includes regression models for multilevel and cluster correlated data and methods for analyzing multiple measures of an outcome arising from different sources (e.g. outcome data that are simultaneously obtained from multiple raters or via different/parallel instruments or methods).
Mathematical statistics --- Longitudinal method. --- Regression analysis. --- Multivariate analysis. --- Medical statistics. --- Methoden en technieken --- statistiek --- statistiek. --- Wiskundige statistiek
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Econometrics --- Regression analysis --- #SBIB:303H66 --- 303.8 --- AA / International- internationaal --- 330.115 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- 330.115 Econometrie --- Econometrie --- Econometrische behandeling van een onderwerp --- Quantitative methods (economics) --- Regression Analysis --- Econometrics. --- Regression analysis.
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