My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
STAT 7336 Sam Efromovich | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
STAT 7336 Sam Efromovich | |||||
A | |||||
Grades: 658
Median GPA: B+
Mean GPA: 3.074
2.3
Professor rating
4.1
Difficulty
16
Ratings given
36%
Would take again
Nonparametric Curve Estimation
STAT 7336
School of Natural Sciences and Mathematics
The course gives a unified account of modern nonparametric statistical methods for curve estimation. Topics include series estimation with emphasis on trigonometric series and wavelets; density estimation; nonparametric regression; filtering signals; time series analysis; survival analysis; handling modified and missing data; theoretical analysis based on rates and constants of the mean integrated squared error convergence; and non-series methods, including those based on kernels, local polynomials, nearest neighbors, and splines. Implementation of methods using a software package. 3 credit hours.
Prerequisite: STAT 6331 or instructor consent required.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.841
Click a checkbox to add something to compare.
Grades: 658
Median GPA: B+
Mean GPA: 3.074
2.3
Professor rating
4.1
Difficulty
16
Ratings given
36%
Would take again
Nonparametric Curve Estimation
STAT 7336
School of Natural Sciences and Mathematics
The course gives a unified account of modern nonparametric statistical methods for curve estimation. Topics include series estimation with emphasis on trigonometric series and wavelets; density estimation; nonparametric regression; filtering signals; time series analysis; survival analysis; handling modified and missing data; theoretical analysis based on rates and constants of the mean integrated squared error convergence; and non-series methods, including those based on kernels, local polynomials, nearest neighbors, and splines. Implementation of methods using a software package. 3 credit hours.
Prerequisite: STAT 6331 or instructor consent required.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.841
Click a checkbox to add something to compare.