论文信息 - Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation

Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation

If the probability differential of a set of stochastic variates contains k unknown parameters, the statistical hypotheses concerning them may be simple or composite. The hypothesis leading to a complete specification of the values of the k parameters is called a simple hypothesis, and the one leading to a collection of admissible sets a composite hypothesis. In this paper we shall be concerned with the testing of these two types of hypotheses on the basis of a large number of observations from any probability distribution satisfying some mild restrictions and their use in problems of estimation.

Calyampudi R. Rao

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