文章基本信息

标题：Inference for Noisy Samples
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作者：I. A. Ahmad ; N. Herawati
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2012
卷号：8
期号：3
页码：381-391
DOI：10.1234/pjsor.v8i3.515
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：Normal 0 false false false EN-US X-NONE X-NONE In the current work, some well-known inference procedures including testing and estimation are adjusted to accommodate noisy data that lead to nonidentically distributed sample. The main two cases addressed are the Poisson and the normal distributions. Both one and two sample cases are addressed. Other cases including the exponential and the Pareto distributions are briefly mentioned. In the Poisson case, the situation when the sample size is random is mentioned.
关键词：Noisy samples, Hypothesis testing and estimation, Poisson, Normal, Exponential, and Pareto