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February-2019
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR1902D77
Registration ID:
305109
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Title
The Optimal Stein Estimation relative to Concentration Probability
Authors
Abstract
General family of Stein rule estimators is considered for general linear regression model. The approximation to the probability density function of the estimator is derived assuming the disturbances to be small. The concentration probability around the true parameter is evaluated there from. Using this concentration probability the optimal choice of biasing scalars is discussed.
Key Words
Simple linear regression model, Stein rule estimator, Small disturbance approximation, Sampling distribution, Concentration probability.
Cite This Article
"The Optimal Stein Estimation relative to Concentration Probability ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.1227-1237, February-2019, Available :http://www.jetir.org/papers/JETIR1902D77.pdf
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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"The Optimal Stein Estimation relative to Concentration Probability ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp1227-1237, February-2019, Available at : http://www.jetir.org/papers/JETIR1902D77.pdf
Publication Details
Published Paper ID: JETIR1902D77
Registration ID: 305109
Published In: Volume 6 | Issue 2 | Year February-2019
Page No: 1227-1237
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1902D77
Published Paper PDF: https://www.jetir.org/papers/JETIR1902D77
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