Comparative Analysis of Methods for Estimation of Rice Distribution Parameters

This article discusses the methods and procedures for estimating the initial parameters of the Rice distribution known in the literature. The maximum likelihood method and the methods of different degrees’ moments are selected. A series of experiments on estimating the parameters from the obtained samples are performed by mathematical modeling of the methods and samples with given values of the initial parameters of the distribution. The advantage of the maximum likelihood method over the others is shown. A procedure for estimating the distribution shape parameter for small signal-to-noise ratios is developed.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Published
2025-04-24
DOI
https://doi.org/10.37394/232014.2025.21.8
Citations
1
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
1.75
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article

Comparative Analysis of Methods for Estimation of Rice Distribution Parameters

Liana Andreasyan
1 citations
WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Rice Cultivation and Yield Improvement
1.75
article

Comparative Analysis of Methods for Estimation of Rice Distribution Parameters

Liana Andreasyan
article en
1 citations

Abstract

This article discusses the methods and procedures for estimating the initial parameters of the Rice distribution known in the literature. The maximum likelihood method and the methods of different degrees’ moments are selected. A series of experiments on estimating the parameters from the obtained samples are performed by mathematical modeling of the methods and samples with given values of the initial parameters of the distribution. The advantage of the maximum likelihood method over the others is shown. A procedure for estimating the distribution shape parameter for small signal-to-noise ratios is developed.

WSEAS TRANSACTIONS ON SIGNAL PROCESSINGVol. 21
National Polytechnic University of Armenia (AM)
Openalex Percentile: Top 16%
Rice Cultivation and Yield Improvement
1.75
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