Statistics II Xavier Vilà Course 2004-2005
1.- Course Contents 2.- Course Resources 3.- Course Requirements
1.- Course Contents 1.- SAMPLING THEORY. 3.- HYPOTHESIS TESTING. 1.1.- Introduction: Population, sample, parameter, 3.1.- Introduction and basic ideas. estimate, and statistical inference. 3.2.- Classes of hypothesis tests. 1.2.- Sampling types. 3.3.- Error types. 1.3.- Sampling distributions. 3.4.- Two-sample tests. 1.4.- The Central Limit Theorem. 3.4.- The Analysis of Variance (ANOVA). 2.- ESTIMATION. 4.- CONCORDANCE AND CORRELATION ANALYSIS 2.1.- Introduction: General criteria for estimation. 4.1.- Relation and causality between variables. 2.2.- Properties of estimators. 4.2.- A general test of concordance. 2.3.- Point estimation. 4.3.- Correlation analysis: Correlation coefficient and 2.4.- Confidence intervals. hypothesis testing. 2.5.- The maximum likelihood method. 5.- SIMPLE REGRESSION ANALYSIS. 2.6.- The Cramer-Rao bound. 5.1.- Introduction: Theoretical Model and Empirical Model. 5.2.- Estimation: Ordinary Least Squares method. 5.3.- O.L.S. Properties. 5.4.- Confidence intervals and hypothesis testing. 5.5.- Goodness of fit.
2.- Course Resources ● Lectures (Monday & Wednesday) ● Exercises (Friday) ● Class Notes ● List of Exercises ● Statistical Tables ● Course Web: http://pareto.uab.es/statistics
3.- Course Requirements Contents (6.75 cr.) English (1.5 cr.) ● Lectures in english ● Final Exam ● Exercises in english ● Exam written in english ● Attendance to at least 2/3 of the lectures
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