Gwilym M. Jenkins

Gwilym M. Jenkins was a British statistician renowned for developing techniques to analyze and forecast time series data—sequences of data points collected over time, like stock prices or weather patterns. His most notable contribution, the ARIMA (AutoRegressive Integrated Moving Average) model, provides a systematic way to identify, model, and predict future data points based on past observations. Jenkins's work has had a significant impact on fields like economics, finance, and engineering, enabling more accurate planning and decision-making by understanding underlying patterns and trends in temporal data.