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通过几何规划求多项概率的极大似然估计
This paper illustrates how the duality theory of geometric programming and the special methods available for solution can be used to obtain maximum likelihood estimates for multinomial probabilities. Three examples are given.
通过几何规划估计多项分布概率的最大似然值
SUMMARY This paper illustrates how the duality theory of geometric programming and the, special methods available for solution can be used to obtain maximum likelihood estimates for multinomial probabilities. Three examples are given.
指数分布参数的一类序贯检验
Weiss [5] and Freeman and Weiss [2] have shown how to construct sampling plans which at least approximately minimize the maximum expected sample size in the case of Bernoulli and Normal populations. In this paper we construct sequential procedures of this type for the testing of an exponential parameter. An invariance property of the stopping region is presented which simplifies the construction of the Bayes regions. Several sampling plans are given and some of their…
指数分布参数的一类序贯检验
Weiss [5] and Freeman and Weiss [2] have shown how to construct sampling plans which at least approximately minimize the maximum expected sample size in the case of Bernoulli and Normal populations. In this paper we construct sequential procedures of this type for the testing of an exponential parameter. An invariance property of the stopping region is presented which simplifies the construction of the Bayes regions. Several sampling plans are given and some of their…