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...

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Main Author: Musa, Rosliza
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://eprints.usm.my/60802/
http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf
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author Musa, Rosliza
author_facet Musa, Rosliza
author_sort Musa, Rosliza
building USM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T19:08:22Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T19:08:22Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling usm-608022024-07-09T05:03:23Z http://eprints.usm.my/60802/ A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area 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 NonPeerReviewed application/pdf en http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf Musa, Rosliza (2016) A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area. Masters thesis, Perpustakaan Hamzah Sendut.
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
title 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_short 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
topic QA1 Mathematics (General)
url http://eprints.usm.my/60802/
http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf