Forecasting a State Gross Domestic Product with Logistic Growth Model

被引：0
|
作者：
Rahim, Rahela Abdul [1 ]
Zikri, Mohd Aliff [1 ]
机构：
[1] Univ Utara Malaysia, Sch Quantitat Sci, Sintok 06010, Kedah, Malaysia
来源：
4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019) | 2019年 / 2138卷
关键词：
D O I：
10.1063/1.5121067
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Gross Domestic Product (GDP) represents the total monetary value of all goods and services produced over a specific time period. This study models the GDP data of the state of Johor for year 2005-2016. A mathematical model is developed for the state GDP data using Logistic Growth model. The long-term equilibrium value for GDP were estimated using data for period 2005-2016 with different parameter values. The future GDP for the state were predicted using the suitable parameter value.
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页数：5
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