On the Lognormality of Rain Rate.
Technical rept. Nov 85-Nov 86,
MARYLAND UNIV COLLEGE PARK DEPT OF MATHEMATICS
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A stochastic dynamic regression model is used in modeling rain rate. Under some conditions on the model parameters, it is shown that rain rate is asymptotically lognormal. An application of the model to the GATE data shows a remarkable agreement between the assumed and estimated model parameters for rain rate averaged over sufficiently large area and a sampling interval of 15 minutes. Keywords Martingale Difference, Weighted Least Squares.
- Statistics and Probability