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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 4352 Hyunwoong Chang | |||||
B | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
STAT 4352 Hyunwoong Chang | |||||
B | |||||
Grades: 62
Median GPA: B
Mean GPA: 2.902
5
Professor rating
3
Difficulty
1
Ratings given
100%
Would take again
Mathematical Statistics
STAT 4352
School of Natural Sciences and Mathematics
Sampling distributions. Order statistics. Decision theory including minimax and Bayes criterion. Point estimation including unbiased estimators, efficiency, consistency, sufficiency, robustness, the method of moments, the method of maximum likelihood, Bayesian estimation. Interval estimation including the estimation of means, differences of means, proportions, differences between proportions, variances and ratios of variances. Hypothesis testing including Neyman-Pearson lemma, power function and likelihood ratio test. Special tests involving means, variances and proportions. Nonparametric tests. Foundations of regression, correlation, design and analysis of experiments. Proofs of all main results. Practical examples illustrating the theory. The course can be used as a preparation for the statistical part of the fourth actuarial exam. 3 credit hours.
Prerequisite: STAT 4351 or equivalent.
Offering Frequency: Each year
Grades: 693
Median GPA: B
Mean GPA: 2.973
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Grades: 62
Median GPA: B
Mean GPA: 2.902
5
Professor rating
3
Difficulty
1
Ratings given
100%
Would take again
Mathematical Statistics
STAT 4352
School of Natural Sciences and Mathematics
Sampling distributions. Order statistics. Decision theory including minimax and Bayes criterion. Point estimation including unbiased estimators, efficiency, consistency, sufficiency, robustness, the method of moments, the method of maximum likelihood, Bayesian estimation. Interval estimation including the estimation of means, differences of means, proportions, differences between proportions, variances and ratios of variances. Hypothesis testing including Neyman-Pearson lemma, power function and likelihood ratio test. Special tests involving means, variances and proportions. Nonparametric tests. Foundations of regression, correlation, design and analysis of experiments. Proofs of all main results. Practical examples illustrating the theory. The course can be used as a preparation for the statistical part of the fourth actuarial exam. 3 credit hours.
Prerequisite: STAT 4351 or equivalent.
Offering Frequency: Each year
Grades: 693
Median GPA: B
Mean GPA: 2.973
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