Zobrazeno 1 - 10
of 1 669
pro vyhledávání: '"Auxiliary variable"'
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:
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
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37232- (2024)
In the present work, we have proposed a novel general class of estimators for the estimation of population distribution function in two distinct situations of non-response. The estimation of distribution function (DF) may play an important role in en
Externí odkaz:
https://doaj.org/article/236174c2bb254250bb40b4d1495d7c82
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
Improvement in variance estimation using transformed auxiliary variable under simple random sampling
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed. It is observed that i
Externí odkaz:
https://doaj.org/article/845fdd165f0440869f38b4816ad07afa
Autor:
G.R.V. Triveni, Faizan Danish
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 267-272 (2024)
In this study, we introduce a novel combined ratio type estimator within the framework of Stratified Ranked Set Sampling to estimate the population mean of the study variable by incorporating bivariate auxiliary information. We conduct a comprehensiv
Externí odkaz:
https://doaj.org/article/7440875178634c5baead94c212a4e439
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e33839- (2024)
This article considers the issue of domain mean estimation utilizing bivariate auxiliary information based enhanced direct and synthetic logarithmic type estimators under simple random sampling (SRS). The expressions of mean square error (MSE) of the
Externí odkaz:
https://doaj.org/article/0d4e0f58f6b7469bbf06fbaccf7df194
Autor:
Yan Wu, Yunzhi Jin
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various real-world issues. The core tensor nuclear norm minim
Externí odkaz:
https://doaj.org/article/2d70241321c8414e9b1386ea93b25c63