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A new biased estimator for the gamma regression model : Some applications in medical sciences
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- نوع التسجيلة:
Electronic Resource
- الدخول الالكتروني :
http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54761
Communications in Statistics - Theory and Methods, 0361-0926, 2023, 52:11, s. 3612-3632
- معلومة اضافية
- Publisher Information:
Jönköping University, IHH, Nationalekonomi, Finansiering och Statistik Department of Statistics, University of Sargodha, Sargodha, Pakistan Department of Statistics, University of Sargodha, Sargodha, Pakistan 2023
- Added Details:
Akram, Muhammad N.
Amin, Muhammad
Qasim, Muhammad
- نبذة مختصرة :
The Gamma Regression Model (GRM) has a variety of applications in medical sciences and other disciplines. The results of the GRM may be misleading in the presence of multicollinearity. In this article, a new biased estimator called James-Stein estimator is proposed to reduce the impact of correlated regressors for the GRM. The mean squared error (MSE) properties of the proposed estimator are derived and compared with the existing estimators. We conducted a simulation study and employed the MSE and bias evaluation criterion to judge the proposed estimator’s performance. Finally, two medical dataset are considered to show the benefit of the proposed estimator over existing estimators.
- الموضوع:
- الرقم المعرف:
10.1080.03610926.2021.1977958
- Note:
English
- Other Numbers:
UPE oai:DiVA.org:hj-54761
0000-0003-0279-5305
doi:10.1080/03610926.2021.1977958
ISI:000697403600001
Scopus 2-s2.0-85115273501
Local ;intsam;54761
1293955668
- Contributing Source:
UPPSALA UNIV LIBR
From OAIster®, provided by the OCLC Cooperative.
- الرقم المعرف:
edsoai.on1293955668
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