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Mathematical statistics --- Regression analysis --- Analyse de régression --- Regression Analysis --- Analyse de regression --- Méthode statistique --- Statistical methods --- Regression analysis. --- 519.2 --- #SBIB:303H520 --- #SBIB:AANKOOP --- regressie-analyse --- wiskundige statistiek --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Probability. Mathematical statistics --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- 519.2 Probability. Mathematical statistics --- Analyse de régression --- Wiskundige statistiek
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Mathematical statistics --- Statistics --- Computer programs. --- Data processing. --- Stata. --- 519.5
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Quantitative methods in social research --- Mathematical statistics --- Social sciences --- #SBIB:303H10 --- 303.023 --- 303.023 Kwantitatieve methoden bij social research --(sociaal wetenschappelijk onderzoek) --- Kwantitatieve methoden bij social research --(sociaal wetenschappelijk onderzoek) --- Statistical methods --- Methoden en technieken: algemene handboeken en reeksen --- Statistical methods. --- Kwantitatieve sociologische onderzoeksmethoden --- Wiskundige statistiek --- Social sciences - Statistical methods
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519.2 --- Social sciences --- -#WWIS:STAT --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Methodology --- Methodology. --- Statistical methods. --- #WWIS:STAT --- Statistical methods --- LISREL. --- LISREL --- Quantitative methods in social research --- Mathematical statistics --- LISREL (Computer file) --- Sciences sociales --- Méthodes statistiques --- Méthodologie --- #SBIB:303H10 --- Methoden en technieken: algemene handboeken en reeksen --- Social sciences - Statistical methods --- Social sciences - Methodology
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519.2 --- Analysis of variance --- -#WWIS:STAT --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Mathematical models --- Social sciences --- Mathematical models. --- Statistical methods --- #WWIS:STAT --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical methods&delete& --- LISREL. --- LISREL --- Methods in social research (general) --- Programming --- LISREL (Computer file) --- #SBIB:303H10 --- #SBIB:303H4 --- Methoden en technieken: algemene handboeken en reeksen --- Informatica in de sociale wetenschappen --- Social sciences - Statistical methods - Mathematical models --- Analysis of variance - Mathematical models
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The discussion in this volume will be particularly useful for estimating models with equality constraints and correlated errors across some but not all equations. The final chapter includes a guide to appropriate software packages.
Social sciences --- Analysis of variance --- Mathematical models.
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This text looks at a statistical method that will appeal to two groups in particular - those who are currently using the more traditional technique of exploratory factor analysis and those who are interested in the analysis of covariance structures, commonly known as the LISREL model.
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After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias. "The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations."--Back cover.
Programming --- Quantitative methods in social research --- Mathematical statistics --- Regression analysis. --- Social sciences --- Stata (logiciel) --- Analyse de régression --- Sciences sociales --- Statistical methods --- Data processing. --- Méthodes statistiques --- Stata. --- Regression Analysis --- Data processing --- Stata --- Analyse de régression. --- Social sciences - Statistical methods - Data processing
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Mathematical statistics --- Statistique mathématique --- Data processing --- 519.2 --- 303.7 --- #SBIB:303H520 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Probability. Mathematical statistics --- Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Statistical methods --- Mathematical statistics. --- 303.7 Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- 519.2 Probability. Mathematical statistics --- Statistique mathématique --- Mathematical statistics - Data processing
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"The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations."--Back cover.
Programming --- Quantitative methods in social research --- Mathematical statistics --- Regression Analysis --- Social sciences --- Statistical methods --- Data processing --- Stata --- Regression analysis. --- Data processing. --- #SBIB:303H4 --- 519.246 --- 301.085 --- 311 --- 681.333 --- 681.33 --- Regression analysis --- -519.536 --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Informatica in de sociale wetenschappen --- Kwantitatieve sociologische onderzoeksmethoden --- Statistiekwetenschap --- Softwarepakket --- Programmering --- -Data processing --- Stata. --- 519.536 --- Statistical methods&delete& --- Social sciences - Statistical methods - Data processing
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