Estimation of the number of faulty components of outliers in signal processing

Methods of estimation of the number of faulty components in the outliers in signal processing have been suggested. The problem is solved for both mean-slippage and dispersion-slippage outliers by Roy’s [8] union-intersection principle and by modified information criterion proposed by the author. The estimators are strongly consistent.

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Publication Details

Journal
Journal of Statistics and Management Systems
Published
2025-01-01
DOI
https://doi.org/10.47974/jsms-1206
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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article

Estimation of the number of faulty components of outliers in signal processing

Madhusudan Bhandary
Journal of Statistics and Management Systems
Engineering Diagnostics and Reliability
article

Estimation of the number of faulty components of outliers in signal processing

Madhusudan Bhandary
article en

Abstract

Methods of estimation of the number of faulty components in the outliers in signal processing have been suggested. The problem is solved for both mean-slippage and dispersion-slippage outliers by Roy’s [8] union-intersection principle and by modified information criterion proposed by the author. The estimators are strongly consistent.

Journal of Statistics and Management SystemsVol. 28(5)
Openalex Percentile: Top 81%
Engineering Diagnostics and Reliability
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Estimation of the number of faulty components of outliers in signal processing — Madhusudan Bhandary · Journal of Statistics and Management Systems (2025) | TGRS Research Map | TGRS