StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

Objectives To evaluate the association between asthma-related emergency department (ED) visits and weather, air quality, monsoons, haze and cultural festivals in Singapore. Design Retrospective cohort ...

Abstract: The number of smartphone users from year to year is increasing. Competition between smartphone vendors is getting fiercer to survive in the industry. Nokia and HTC are some cases where ...

The rising demand for electricity presents significant challenges to grid stability. Demand response programs address this issue by incentivizing consumers to adjust consumption during peak periods.

Abstract: Based on customer satisfaction, this study forecasts the number of visitors to Oman. By incorporating external variables into SARIMAX models, the study demonstrates a significant enhancement ...

时间序列分析和预测在现代数据科学中扮演着关键角色，广泛应用于金融、经济、气象学和工程等领域。本文将总结11种经典的时间序列预测方法，并提供它们在Python中的实现示例。 自回归积分移动平均（ARIMA） 季节性自回归积分移动平均（SARIMA） 具有外生回归 ...

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model ...