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:en
Published: 2016
Subjects:
Online Access:http://eprints.usm.my/60802/1/24%20Pages%20from%2000001792569.pdf
http://eprints.usm.my/60802/
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author Musa, Rosliza
author_facet Musa, Rosliza
author_sort Musa, Rosliza
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
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
id my.usm.eprints.60802
institution Universiti Sains Malaysia
language en
publishDate 2016
record_format eprints
spelling my.usm.eprints.60802 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/60802/1/24%20Pages%20from%2000001792569.pdf
http://eprints.usm.my/60802/
url_provider http://eprints.usm.my/