STA 5353 "Theory of Statistics II" is the second course in a two-semester sequence on the theory of statistics for the Ph.D. in Statistics at Baylor University. The course is offered by the Department of Statistical Science. Topics include sampling distributions, likelihood and sufficiency principles, point and interval estimation, loss functions, Bayesian analysis, asymptotic convergence, and test of hypothesis, analysis of variance, and regression.
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Estimation and Prediction for a Specific Value of…
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Estimation and Testing with Normal Errors
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Models and Distributions
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Estimation of Model Parameters
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Introduction to Simple Linear Regression
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Linear Combinations of Means
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The Classic ANOVA Hypothesis 7 of 15
32:09duration 32 minutes 9 seconds
The Classic ANOVA Hypothesis
The Classic ANOVA Hypothesis
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Introduction to Oneway Analysis of Variance…
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Asymptotic Evaluations for Interval Estimation
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Asymptotic Evaluations for Hypothesis Testing
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Asymptotic Evaluations of Point Estimators
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Loss Function Optimality for Interval Estimation
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Bayesian Credible Set Optimality
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Test-Related Optimality
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Size and Coverage Probability
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