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The paper gives a detailed account of the motivation for and the design and implementation of a computer-based system for managing the water resources in Thailand. The problems and difficulties encountered are discussed and lessons are drawn which can help to guide such undertakings in the future. BackgroundAt present Thailand has fourteen government and state enterprise agencies that are responsible for collecting hydrological, meteorological and hydrogeological data. These agencies are:

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The simple adjusted estimator of risk difference in each center is easy constructed by adding a value c on the number of successes and on the number of failures in each arm of the proportion estimator. Assessing a treatment effect in multi-center studies, we propose minimum MSE (mean square error) weights of an adjusted summary estimate of risk difference under the assumption of a constant of common risk difference over all centers. To evaluate the performance of the proposed weights, we compare not only in terms of estimation based on bias, variance, and MSE with two other conventional weights, such as the Cochran-Mantel-Haenszel weights and the inverse variance (weighted least square) weights, but also we compare the potential tests based on the type I error probability and the power of test in a variety of situations. The results illustrate that the proposed weights in terms of point estimation and hypothesis testing perform well and should be recommended to use as an alternative choice. Finally, two applications are illustrated for the practical use