FORECASTING THE SEAWEED PRODUCTION IN TAWI-TAWI USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL

被引：0

作者：

Palahuddin, Raul A. ^{[1
]}

Langamin, Danilo G. ^{[1
]}

Artes, Rosalio G. ^{[1
]}

机构：

[1] Mindanao State Univ, Tawi Tawi Coll Technol & Oceanog, Tawi Tawi, Philippines

来源：

ADVANCES AND APPLICATIONS IN STATISTICS | 2024年 / 91卷 / 06期

关键词：

SARIMA model; forecasting; moving average; FISHERY;

D O I：

10.17654/0972361724038

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This study used the Box -Jenkins method to determine a mathematical model that best fits the data on the seaweed production (metric tons) of the six (6) municipalities in Tawi-Tawi from January 2010 to December 2020. This study used the time series analysis by employing the Box -Jenkins technique. After applying the standard procedure to identify and estimate the most appropriate and adequate model, the results show that the data is seasonal autoregressive. The SARIMA model showed that the seaweed production in Tawi-Tawi is seasonal and will slightly increase in succeeding years. The highest production usually comes in the month of June of each year. It is recommended that the results of this study will be used as the basis for the government of Tawi-Tawi to map out intervention plans for viable and sustainable seaweed production.

引用

页码：719 / 738

页数：20

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