Kernel Estimation of the Conditional Probability Density Function and Some of Its Aspects
Hazem Ismail A. El Shekh Ahmed;
Abstract
This thesis focuses on presenting the kernel estimation of the conditional probability density function and some of its aspects.
We try to propose a modified estimator of the conditional mode in two ways, one by maximizing the Reweighted Nadaraya-Watson
We try to propose a modified estimator of the conditional mode in two ways, one by maximizing the Reweighted Nadaraya-Watson
Other data
| Title | Kernel Estimation of the Conditional Probability Density Function and Some of Its Aspects | Other Titles | التقدير بالنواة لدالة الكثافة الاحتمالية الشرطية و بعض سماتها | Authors | Hazem Ismail A. El Shekh Ahmed | Keywords | Kernel Estimation of the Conditional Probability Density Function and Some of Its Aspects | Issue Date | 2010 | Description | This thesis focuses on presenting the kernel estimation of the conditional probability density function and some of its aspects. We try to propose a modified estimator of the conditional mode in two ways, one by maximizing the Reweighted Nadaraya-Watson |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| 92422p33.pdf | 87.24 kB | Adobe PDF | View/Open |
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