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5.0
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 7334 Chuan-Fa Tang | |||||
A | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
STAT 7334 Chuan-Fa Tang | |||||
A | |||||
Grades: 456
Median GPA: A-
Mean GPA: 3.303
4.1
Professor rating
2.7
Difficulty
11
Ratings given
91%
Would take again
Nonparametric and Robust Statistical Methods
STAT 7334
School of Natural Sciences and Mathematics
Order statistics, ranks, and related distribution theory. Sign, signed rank, and permutation statistics. U-statistics, L-statistics, M-statistics, R-statistics. One- and multi-sample location and scale problems. Nonparametric ANOVA. Pitman asymptotic relative efficiency. Locally most powerful rank tests. Maximum likelihood estimation for nonparametric families. Minimax asymptotic variance and minimum bias criteria for robust estimation. Robust confidence limits. Optimal influence curves. Nonparametric/robust density estimation, regression curve estimation, and smoothing. Nonparametric and robust methods for multivariate data. Selected other topics. 3 credit hours.
Prerequisite: STAT 6331 or equivalent.
Offering Frequency: Every two years
Grades: 33
Median GPA: A
Mean GPA: 3.950
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Grades: 456
Median GPA: A-
Mean GPA: 3.303
4.1
Professor rating
2.7
Difficulty
11
Ratings given
91%
Would take again
Nonparametric and Robust Statistical Methods
STAT 7334
School of Natural Sciences and Mathematics
Order statistics, ranks, and related distribution theory. Sign, signed rank, and permutation statistics. U-statistics, L-statistics, M-statistics, R-statistics. One- and multi-sample location and scale problems. Nonparametric ANOVA. Pitman asymptotic relative efficiency. Locally most powerful rank tests. Maximum likelihood estimation for nonparametric families. Minimax asymptotic variance and minimum bias criteria for robust estimation. Robust confidence limits. Optimal influence curves. Nonparametric/robust density estimation, regression curve estimation, and smoothing. Nonparametric and robust methods for multivariate data. Selected other topics. 3 credit hours.
Prerequisite: STAT 6331 or equivalent.
Offering Frequency: Every two years
Grades: 33
Median GPA: A
Mean GPA: 3.950
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