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Quantitative methods in social research --- Mathematical statistics --- Analysis of variance --- Experimental design --- Linear models (Statistics) --- Regression analysis --- Analyse de variance --- Plan d'expérience --- Modèles linéaires (Statistique) --- Analyse de régression --- Regression Analysis --- 519.22 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Statistical theory. Statistical models. Mathematical statistics in general --- Experiments --- Methodology --- Analysis of variance. --- Experimental design. --- Regression analysis. --- MET Methods & Techniques --- statistics --- statistical analysis --- statistical methods --- regression analysis --- analysis of variance --- experimental design --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Linear models (Statistics). --- Plan d'expérience --- Modèles linéaires (Statistique) --- Analyse de régression
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Analysis of variance --- Experimental design --- Linear models (Statistics) --- Regression analysis --- 519.233.4 --- 519.233.5 --- 519.242 --- 519.233.5 Correlation analysis. Regression analysis --- Correlation analysis. Regression analysis --- Models, Linear (Statistics) --- Mathematical models --- Mathematical statistics --- Statistics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- 519.242 Experimental design. Optimal designs. Block designs --- Experimental design. Optimal designs. Block designs --- 519.233.4 Variance analysis. Covariance analysis --- Variance analysis. Covariance analysis --- Experiments --- Methodology --- Quantitative methods in social research
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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.
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
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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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Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. 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. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
QA 278.2 Regression Analysis (Mathematical Statistics / Multivariate Analysis) - HA29 Theory and method of social science statistics (General works/ English) --- Analysis of Variance --- Linear Models --- Experimental design --- Regression analysis --- Textbooks --- Regression analysis - Textbooks --- Analysis of variance - Textbooks --- Experimental design - Textbooks --- Linear models (Statistics) - Textbooks --- Analysis of variance --- Linear models (Statistics) --- Ruimtelijke planning en ruimtelijk ontwerp --- Methoden en technieken. --- Quantitative methods in social research --- Mathematical statistics --- Statistical science --- mathematische modellen, toegepast op economie --- multivariaat --- regressie-analyse --- 519.22 --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Statistical theory. Statistical models. Mathematical statistics in general --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Experiments --- Methodology --- Toegepaste statistiek. --- Modèles linéaires. --- Modèles linéaires (statistique) --- Statistique mathématique. --- Mathematical statistics. --- Experimental design.
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