The Application Of Logistic Discriminance And Empirical Bayes Estimator

This paper is divided into two parts: logistic discrimination law and its application; Bayes estimate that the actual experience of the application. Set out in the first part of the climate determine the type of rainfall in the daily life of the significance of pre-disaster prevention, through the accurate determination of a certain type of rainfall can be very good for timely meteorological departments to develop policies to help the emergency plan. And such discrimination is the calendar year through the 6,8 rainfall in the size of the order against the targets of discrimination, use of logistic discrimination law to solve the problem well, and middle and lower reaches of the Yangtze River to north China and some specific types of data and changes in the establishment of A certain relationship, and the history of the rainfall data as a factor prediction, accurate prediction of a few types of middle ground. The second part in the use of empirical Bayes methods on a number of weapons test method has improved the performance of a weapon for the determination of the traditional methods used for more than a lot of tests, not only long test cycle, and launch huge amount of ammunition, Cost is extremely expensive, through empirical Bayes methods, first of all reduce the number of shells fired each and every test End of the functions that a full use of subjective prior information, to conduct the launch, this test can also reduce the frequency of many, saving In order to save ammunition for the test.