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首页> 外文期刊>Journal of statistics & management systems >An empirical study on rainfall patterns of monsoon season in the north-west India using time series models
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An empirical study on rainfall patterns of monsoon season in the north-west India using time series models

机译:一个实证研究季风降雨模式赛季在西北印度使用时间序列模型

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摘要

Rainfall is an important natural source of water, which is the most essential component of living organisms. The study of rainfall modeling and forecasting are critically important for an agrarian based country like India. Whereas, the fluctuations of economy and security of food depends on the timely availability of rainfall. The current study adopts time series modeling schemes to model the rainfall pattern of the Southwest monsoon using data from 1901 to 2015 in the North-West India. The univariate time series multiplicative SARIMA models were implemented for forecasting. The diagnostic checks showed that the seasonal model SARIMA (1, 0, 1) x (1, 1, 1)([4]), with AIC score of 4373.97, fits the series well, and realistic forecasts were obtained. The accuracy level of each model is computed by various performance measures. The identified SARIMA model was found to be an appropriate tool for forecasting of the Southwest monsoon rainfall patterns.
机译:降雨是一种重要的天然水源,生活最重要的组成部分是什么生物。预测是至关重要的基于农业的像印度这样的国家。经济波动和安全的食品取决于及时的降雨。当前的研究采用时间序列建模计划模型的降雨模式使用数据从1901年到2015年,西南季风印度西北部。乘法SARIMA模型实现预测。季节性SARIMA模型(1,0,- 1)x (1, 1,1)([4]),与AIC得分为4373.97,符合系列,和现实的预测获得的。计算各种性能的措施。确定SARIMA模型被发现适当的工具预测西南季风降雨模式。

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