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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
TWO GENERALIZED CLASSES OF ESTIMATORS QUASI-MIMIMAX AND MOCK-MINIMAX IN LARGE SAMPLE ASYMPTOTIC APPROACH
Authors
SYED QAIM AKBAR RIZVI
Keywords
MIMIMAX and MOCK-MINIMAX, large asymptotic.
Abstract
In this paper concerns with proposing two general1zed
classes of estimators utilizing both types of information,
apriori and sample, for the estimation of coefficient vector in
classical linear regression model. Bias vectors, mean square
matrices and weighted quadratic risks are found employing
large asymptotic theories. Some better estimators in the
sense of having lesser risk than those of the estimators
already in the literature are investigated.In generalized classes of estimators in regression models with
apron information deals with developing generalized classes of
estimators. There two generalized classes of estimator QUASIMIMIMAX and MOCK-MINIMAX estimators utilizing both types of
estimator information, apron and sample in large sample
asymptotic approach due to KADANE (1871), we find the
approximation bias, risk associated with b1
*
and b2
*
and compare
from Ordinary least Square estimator b.
IJCRT's Publication Details
Unique Identification Number - IJCRT2310578
Paper ID - 245550
Page Number(s) - f107-f114
Pubished in - Volume 11 | Issue 10 | October 2023
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
SYED QAIM AKBAR RIZVI, "TWO GENERALIZED CLASSES OF ESTIMATORS QUASI-MIMIMAX AND MOCK-MINIMAX IN LARGE SAMPLE ASYMPTOTIC APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.f107-f114, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310578.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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