Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb].
Data siri masa aggregat digunakan terhadap hasil daging yang berbeza seperti daging lembu, daging khinzir, daging kambing, dan daging ternakan ayam, untuk penganggaran dan menganalisa permintaan pasaran daging di Malaysia. Kajian ini bertujuan untuk memilih model permintaan yang paling sesuai dianta...
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my-usm-ep.86302013-07-13T03:56:57Z Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. 2006-03 Sinalubong-Paraguas, Maria Divina QA276-280 Mathematical Analysis Data siri masa aggregat digunakan terhadap hasil daging yang berbeza seperti daging lembu, daging khinzir, daging kambing, dan daging ternakan ayam, untuk penganggaran dan menganalisa permintaan pasaran daging di Malaysia. Kajian ini bertujuan untuk memilih model permintaan yang paling sesuai diantara model Rotterdam dan model First Differenced Linear Approximate Almost Ideal Demand System (FDLAIDS) dengan menggunakan pendekatan ‘tak bersarang’. Aggregated time series data for differentiated meat products namely, beef, pork, poultry and mutton were used to estimate and analyze Malaysian market demand for meats. The study aimed to select the most appropriate demand model between the equally popular Rotterdam model and the First Differenced Linear Approximate Almost Ideal Demand System (FDLAIDS) model by using a non-nested approach. 2006-03 Thesis http://eprints.usm.my/8630/ http://eprints.usm.my/8630/1/ESTIMATION_OF_MEAT_DEMAND_SYSTEM.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Matematik |
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QA276-280 Mathematical Analysis Sinalubong-Paraguas, Maria Divina Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. |
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Data siri masa aggregat digunakan terhadap hasil daging yang berbeza seperti daging lembu, daging khinzir, daging kambing, dan daging ternakan ayam, untuk penganggaran dan menganalisa permintaan pasaran daging di Malaysia. Kajian ini bertujuan untuk memilih model permintaan yang paling sesuai diantara model Rotterdam dan model First Differenced Linear Approximate Almost Ideal Demand System (FDLAIDS) dengan menggunakan pendekatan ‘tak bersarang’.
Aggregated time series data for differentiated meat products namely, beef, pork, poultry and mutton were used to estimate and analyze Malaysian market demand
for meats. The study aimed to select the most appropriate demand model between the equally popular Rotterdam model and the First Differenced Linear Approximate Almost
Ideal Demand System (FDLAIDS) model by using a non-nested approach.
|
format |
Thesis |
qualification_level |
Master's degree |
author |
Sinalubong-Paraguas, Maria Divina |
author_facet |
Sinalubong-Paraguas, Maria Divina |
author_sort |
Sinalubong-Paraguas, Maria Divina |
title |
Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. |
title_short |
Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. |
title_full |
Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. |
title_fullStr |
Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. |
title_full_unstemmed |
Estimation Of Meat Demand System In Malaysia : Model Selection Between The Rotterdam Model And The Fdlaids Model [QA280. D618 2006 f rb]. |
title_sort |
estimation of meat demand system in malaysia : model selection between the rotterdam model and the fdlaids model [qa280. d618 2006 f rb]. |
granting_institution |
Universiti Sains Malaysia |
granting_department |
Pusat Pengajian Sains Matematik |
publishDate |
2006 |
url |
http://eprints.usm.my/8630/1/ESTIMATION_OF_MEAT_DEMAND_SYSTEM.pdf |
_version_ |
1747819714248179712 |