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Applied linear statistical models
Authors: --- --- ---
ISBN: 025608601X 0256117365 9780256117363 9780256086010 Year: 1996 Publisher: New York, NY : McGraw-Hill,

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Abstract

There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.

Keywords

Regression analysis --- Analysis of variance. --- Experimental design. --- Linear models (Statistics) --- Regression analysis. --- Basic Sciences. Statistics --- Applied Statistics --- Correlation and Regression Analysis --- Linear models (Statistics). --- Applied Statistics. --- Correlation and Regression Analysis. --- statistisch onderzoek --- Analyse de régression --- Analyse de variance --- Plan d'expérience --- Modèles linéaires (Statistique) --- Regression Analysis --- Experimental design --- 519.22 --- 57.087.1 --- #BREK:statistiek --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Models, Linear (Statistics) --- Design of experiments --- Statistical design --- Statistical decision --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Statistical theory. Statistical models. Mathematical statistics in general --- Biometry. Statistical study and treatment of biological data --- Experiments --- Contains audio-visual material --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Analyse de régression --- Plan d'expérience --- Modèles linéaires (Statistique) --- Analysis of variance --- Statistiek --- 311 --- Mathematical models --- Mathematical statistics --- Statistics --- Mathematical optimization --- Research --- Science --- 311 Statistische methoden --- Statistische methoden --- Methodology --- Quantitative methods in social research --- statistiek --- Modèles linéaires (statistique) --- Statistique mathématique --- Mathematical statistics. --- Modèles linéaires (statistique) --- Statistique mathématique

Applied linear regression models
Authors: --- ---
ISBN: 0072386916 9780072386912 Year: 2004 Publisher: New York: McGraw-Hill,

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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.

Student solutions manual for use with Applied linear regression models (third edition) and Applied linear statistical models (fourth edition)
Authors: --- ---
ISBN: 0256119872 9780256119879 Year: 1996 Publisher: Boston (Mass.): McGraw-Hill,

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Instructor solutions manual to accompany Applied linear regression models (third edition) and Applied linear statistical models (fourth edition)
Authors: --- ---
ISBN: 0256119880 9780256119886 Year: 1996 Publisher: Boston (Mass.): McGraw-Hill,

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Applied linear statistical models
Authors: --- --- --- ---
ISBN: 9781259064746 Year: 2005 Publisher: New Delhi McGraw-Hill

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