Drought class transition analysis through Markov and Loglinear models, an approach to early warning
- 28 March 2005
- journal article
- Published by Elsevier in Agricultural Water Management
- Vol. 77 (1-3), 59-81
- https://doi.org/10.1016/j.agwat.2004.09.039
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- DROUGHT INDICATORS AND TRIGGERS: A STOCHASTIC APPROACH TO EVALUATION1Jawra Journal of the American Water Resources Association, 2003
- A Markov chain simulation model for predicting critical wet and dry spells in Kenya: analysing rainfall events in the Kano PlainsIrrigation and Drainage, 2003
- Markov chain analysis of weekly rainfall data in determining drought‐pronenessDiscrete Dynamics in Nature and Society, 2002
- A model for forecasting drought from teleconnectionsWater Resources Research, 2000
- Long-Term Analysis and Short-Term Forecasting of Dry Spells by Palmer Drought Severity IndexHydrology Research, 1998
- AN EARLY WARNING SYSTEM FOR DROUGHT MANAGEMENT USING THE PALMER DROUGHT INDEX1Jawra Journal of the American Water Resources Association, 1997
- Minimum variance streamflow record augmentation proceduresWater Resources Research, 1985
- A comparison of four streamflow record extension techniquesWater Resources Research, 1982
- On the definition of droughtsWater Resources Research, 1980
- Log Linear Models for Contingency Tables: A Generalization of Classical Least SquaresJournal of the Royal Statistical Society Series C: Applied Statistics, 1974