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Inference for Noisy Samples

Pakistan Journal of Statistics and Operation Research

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Title Inference for Noisy Samples
Creator Ahmad, I. A.; Department of Statistics
Oklahoma State University
Stillwater, Oklahoma 74078
Herawati, N.; Department of Mathematics
University of Lampung
Bandar Lampung, Indonesia 35145
Subject Statistics
Noisy samples, Hypothesis testing and estimation, Poisson, Normal, Exponential, and Pareto

Description 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.
Publisher College of Statistical and Actuarial Sciences
Date 2012-07-01
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012; 381-391
Language eng