Monitoring a Poisson process subject to gradual changes in the arrival rates where the arrival rates are unknown

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Sequential Analysis-Design Methods and Applications Pub Date : 2021-07-03 DOI:10.1080/07474946.2021.1940504
Marlo Brown
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引用次数: 1

Abstract

Abstract We look at a Poisson process where the arrival rates change from λ 1 to λ 2. We will assume that the arrival rates both before and after the change are unknown. We also assume that this change does not happen abruptly but gradually over a period of time η where η is known. We calculate the probability that the change has started and completed. We also look at optimal stopping rules assuming that there is a cost for a false alarm and a cost per time unit to stop early.
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在到达率未知的情况下,监测到达率逐渐变化的泊松过程
摘要我们研究到达率从λ1变化到λ2的泊松过程。我们将假设更改前后的到达率都是未知的。我们还假设这种变化不是突然发生的,而是在一段时间η内逐渐发生的,其中η是已知的。我们计算变更已经开始和完成的概率。我们还研究了最优停止规则,假设有错误警报的成本和提前停止的每个时间单位的成本。
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来源期刊
CiteScore
1.40
自引率
12.50%
发文量
20
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.
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