Zobrazeno 1 - 10
of 1 844
pro vyhledávání: '"auxiliary variable"'
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 480-497 (2025)
The exploration of efficient and reliable data analysis tools is a constant endurance in statistical community. Stratification bring enhancement in estimates by capturing the heterogeneity in the data. This work introduces a novel data-driven machine
Externí odkaz:
https://doaj.org/article/58f58d5e55494ff5a97150b50da04352
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Epidemiological and clinical studies often have missing data, frequently analysed using multiple imputation (MI). In general, MI estimates will be biased if data are missing not at random (MNAR). Bias due to data MNAR can be reduc
Externí odkaz:
https://doaj.org/article/bb793e936f3a43539a818fc58f0ebf47
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract The study addressed the limitations of classical statistical methods when dealing with ambiguous data, emphasizing the importance of adopting neutrosophic statistics as a more effective alternative. Classical methods falter in managing uncer
Externí odkaz:
https://doaj.org/article/4114c16cb99a489692a53854ec3272b8
Publikováno v:
Research in Statistics, Vol 2, Iss 1 (2024)
The potential of this study for estimating the finite population variance of the study variable of a class of estimators by utilizing an auxiliary variable in simple random sampling is enormous. The asymptotic properties of the proposed class of esti
Externí odkaz:
https://doaj.org/article/87cc47bc4c2746009d1d20ef97fe01c6
Autor:
Sunil Kumar, Chanda Rani
Publikováno v:
Research in Statistics, Vol 2, Iss 1 (2024)
In this study, we concern with the improved estimation of sensitive variable when there is non-response and measurement error on sensitive variable but the auxiliary variable is non sensitive in nature. For the purpose, we propose an improved estimat
Externí odkaz:
https://doaj.org/article/e477ea750afd4d80ac2435dc5441d444
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e40367- (2024)
In the majority of sample surveys, the variable of interest might have sensitive characteristics. Since we frequently get unrealistic responses from respondents during interviews as employing the direct method is not seen logical in these situations.
Externí odkaz:
https://doaj.org/article/de662f953fcb4886a8df6424975b09a1
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4433-4453 (2024)
The keys to constructing numerical schemes for nonlinear partial differential equations are accuracy, handling of the nonlinear terms, and physical properties (energy dissipation or conservation). In this paper, we employ the exponential scalar auxil
Externí odkaz:
https://doaj.org/article/fd759c2d25a2492eb4d750a6dc9dd290
Autor:
Housila P. Singh, Neha Garg
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The existence of measurement errors cannot be avoided in practice. It is a prominent fact that the existence of measurement errors diminishes conventional properties of the estimators. A modified correlated measurement errors model has been
Externí odkaz:
https://doaj.org/article/920b6dcb2b0046dcbfb42762ee25712e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Our study explores neutrosophic statistics, an extension of classical and fuzzy statistics, to address the challenges of data uncertainty. By leveraging accurate measurements of an auxiliary variable, we can derive precise estimates for the
Externí odkaz:
https://doaj.org/article/ad0fab706319470bac5d9fd3947a0224
Publikováno v:
In Communications in Nonlinear Science and Numerical Simulation January 2025 140 Part 1