A Model Fitting Analysis of Daily Rainfall Data

作者：Roger D. Stern, Richard Coe · 发表于：Journal of the Royal Statistical Society Series A (General) · 年份：1984 · DOI：10.2307/2981736 · 被引用次数：459 · 研究领域：Hydrology and Drought Analysis、Soil Geostatistics and Mapping、Financial Risk and Volatility Modeling

SUMMARY This paper discusses the fitting and use of models for daily rainfall observations. Nonstationary Markov chains are fitted to the occurrence of rain, and gamma distributions, with parameters which vary with-the time of year, are fitted to the rainfall amounts. Numerical methods are used to derive results from these models that are important in agricultural planning. Examples include the distributions of soil water content and lengths of dry spells. The process of fitting and using these models provides a straightforward and flexible analysis for rainfall records.