当成功概率p未知时，二项式试验中N的两阶段连续无偏估计

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Sequential Analysis-Design Methods and Applications Pub Date : 2021-12-31 DOI:10.1080/07474946.2022.2082473

Y. Malinovsky, S. Zacks

引用次数: 1

摘要

摘要当我们用具有相同p的负二项式实验的独立样本来增强数据时，我们提出了两阶段和顺序程序来估计具有未知参数p的二项式分布的未知参数N。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Two-stage and sequential unbiased estimation of N in binomial trials, when the probability of success p is unknown

Abstract We propose two-stage and sequential procedures to estimate the unknown parameter N of a binomial distribution with unknown parameter p, when we reinforce data with an independent sample of a negative binomial experiment having the same p.

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来源期刊

Sequential Analysis-Design Methods and Applications STATISTICS & PROBABILITY-

CiteScore

1.40

自引率

12.50%

发文量

期刊介绍： The purpose of Sequential Analysis is to contribute to theoretical and applied aspects of sequential methodologies in all areas of statistical science. Published papers highlight the development of new and important sequential approaches. Interdisciplinary articles that emphasize the methodology of practical value to applied researchers and statistical consultants are highly encouraged. Papers that cover contemporary areas of applications including animal abundance, bioequivalence, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are deemed especially important. Of particular value are expository review articles that critically synthesize broad-based statistical issues. Papers on case-studies are also considered. All papers are refereed.