A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area

The curvilinear relationship between a dependent variable and several independent variables can be represented by a polynomial regression model. This model is used to study the relationship between response variable and predictor variable which contain square and higher-order term. Polynomial reg...

全面介绍

Saved in:
书目详细资料
主要作者: Musa, Rosliza
格式: Thesis
语言:English
出版: 2016
主题:
在线阅读:http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf
标签: 添加标签
没有标签, 成为第一个标记此记录!
id my-usm-ep.60802
record_format uketd_dc
spelling my-usm-ep.608022024-07-09T05:03:23Z A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area 2016-01 Musa, Rosliza QA1 Mathematics (General) The curvilinear relationship between a dependent variable and several independent variables can be represented by a polynomial regression model. This model is used to study the relationship between response variable and predictor variable which contain square and higher-order term. Polynomial regression model is a special case of multiple regression model. The building of polynomial regression model has the same characteristics as multiple linear regressions in term of parameter estimation, regression inference, variable selection and model diagnostic. Weighted least square estimation is used as a remedy for non-constant variance. This study used polynomial regression model with weighted least square estimation to investigate paddy production of different paddy lots based on environmental and cultivation characteristics in Muda Agriculture and Development Authority (MADA) area. 2016-01 Thesis http://eprints.usm.my/60802/ http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf application/pdf en public masters Perpustakaan Hamzah Sendut Pusat Pengajian Sains Matematik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA1 Mathematics (General)
spellingShingle QA1 Mathematics (General)
Musa, Rosliza
A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
description The curvilinear relationship between a dependent variable and several independent variables can be represented by a polynomial regression model. This model is used to study the relationship between response variable and predictor variable which contain square and higher-order term. Polynomial regression model is a special case of multiple regression model. The building of polynomial regression model has the same characteristics as multiple linear regressions in term of parameter estimation, regression inference, variable selection and model diagnostic. Weighted least square estimation is used as a remedy for non-constant variance. This study used polynomial regression model with weighted least square estimation to investigate paddy production of different paddy lots based on environmental and cultivation characteristics in Muda Agriculture and Development Authority (MADA) area.
format Thesis
qualification_level Master's degree
author Musa, Rosliza
author_facet Musa, Rosliza
author_sort Musa, Rosliza
title A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
title_short A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
title_full A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
title_fullStr A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
title_full_unstemmed A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
title_sort weighted least squares estimation of the polynomial regression model on paddy production for the muda agriculture and development authority (mada) area
granting_institution Perpustakaan Hamzah Sendut
granting_department Pusat Pengajian Sains Matematik
publishDate 2016
url http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf
_version_ 1804888999696793600