On the estimation of the conditional L1-median
Other Title(s)
حول تقدير الوسيط L1 الشرطي
Dissertant
Thesis advisor
University
Islamic University
Faculty
Faculty of Science
Department
Department of Mathematics
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2017
English Abstract
In this thesis, we study the conditional -median which plays an important role in the nonparametric prediction.
An estimator of the -median based on the Nadaraya-Watson estimator of the conditional distribution function has been studied and its consistency has been driven under some conditions.
Another estimator based on the double kernel estimator of the conditional distribution function has been proposed to get a smoother estimator than that based on the Nadaraya –Watson estimator .
The performance of the two estimators has been tested using two bivariate time series data.
The comparison indicated that the double kernel estimator gives smooth prediction curves while the NadarayaWatson estimator gives a smaller mean square error.
Main Subjects
No. of Pages
60
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Preliminaries.
Chapter Two : Nadaraya-watson estimator of L1-median.
Chapter Three : The double kernel estimator.
Chapter Four : Applications.
References.
American Psychological Association (APA)
Qurayq, Muna Yaqub Muhammad. (2017). On the estimation of the conditional L1-median. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-901390
Modern Language Association (MLA)
Qurayq, Muna Yaqub Muhammad. On the estimation of the conditional L1-median. (Master's theses Theses and Dissertations Master). Islamic University. (2017).
https://search.emarefa.net/detail/BIM-901390
American Medical Association (AMA)
Qurayq, Muna Yaqub Muhammad. (2017). On the estimation of the conditional L1-median. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-901390
Language
English
Data Type
Arab Theses
Record ID
BIM-901390
