Inference for Noisy Samples

I. A. Ahmad, N. Herawati

Abstract


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.


Keywords


Noisy samples, Hypothesis testing and estimation, Poisson, Normal, Exponential, and Pareto

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DOI: http://dx.doi.org/10.18187/pjsor.v8i3.515

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Title

Inference for Noisy Samples

Keywords

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.


Date

2012-07-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810