Ibrahim, A. Ahmad and Netti, Herawati (2012) Inference for Noisy Samples. Pakistan Journal of Statistics and Operation Research (PJSOR), 8 (3). ISSN 2220-5810

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Official URL: https://pjsor.com/pjsor/article/view/515/248


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

Item Type: Article
Subjects: Q Science > QA Mathematics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User: Dr NETTI HERAWATI
Date Deposited: 06 May 2021 06:47
Last Modified: 06 May 2021 06:47
URI: http://repository.lppm.unila.ac.id/id/eprint/30020

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