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  • 标题:Inference for Noisy Samples
  • 本地全文:下载
  • 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
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