Modelling and Forecasting Wheat Production in Punjab State of India using Hierarchical Time Series Models

Monika Devi; Pradeep Mishra; Soumen Pal

首页> 外文期刊>Indian Journal of Ecology >Modelling and Forecasting Wheat Production in Punjab State of India using Hierarchical Time Series Models

【24h】

Modelling and Forecasting Wheat Production in Punjab State of India using Hierarchical Time Series Models

机译：Modelling and Forecasting Wheat Production in Punjab State of India using Hierarchical Time Series Models

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Due to the importance of wheat crop and Punjab being the leading wheat producer, this paper considers hierarchical time series data on wheat production in Punjab. The Punjab state wheat production data is organized in a hierarchy based on geographicalregions. Top-down, bottom-up, middle-out, and optimal-combination approaches were used along with single series forecasting. An analysis of forecast performance shows that bottom-up approach outperforms other methods in terms of RMSE and MAE in out of sample forecast horizon. Finally, the state of Punjab has forecasted wheat production from 2019 to 2023 using a bottom-up approach.

著录项

来源
《Indian Journal of Ecology》 |2022年第6期|2370-2376|共7页
作者
Monika Devi; Pradeep Mishra; Soumen Pal;
展开▼
作者单位

Department of Mathematics & Statistics, CCS HAU, Hisar-125 004, India;

College of Agriculture, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Rewa-486 001, India;

ICAR- Indian Agricultural Statistics Research Institute (IASRI), New Delhi-110 012, India;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类农业生物学;
关键词
Bottom-up; Forecasting; Middle-out; Production; Wheat;

Modelling and Forecasting Wheat Production in Punjab State of India using Hierarchical Time Series Models

摘要

著录项

相关主题

期刊订阅