Results 21 to 30 of about 74,731 (304)
Cross-validation prior choice in Bayesian probit regression with many covariates [PDF]
, 2011 This paper examines prior choice in probit regression through a predictive cross-validation criterion. In particular, we focus on situations where the number of potential covariates is far larger than the number of observations, such as in gene ...
J. E. Griffin +6 more
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, 2020 : Use of suitable auxiliary information is always suggested in literature at the planning and estimation stage to make the estimators more powerful in terms of efficiency.
Khare, Supriya; Banaras Hindu University +2 more
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Auxiliary variables for deformable models [PDF]
Proceedings of IEEE International Conference on Computer Vision, 2002 We present a mathematical formulation for curve and surface reconstruction algorithms by introduction of auxiliary variables. For deformable models and templates, two step iterative algorithms have been often used where, at each iteration, the model is first locally deformed according to the potential data attraction and then globally smoothed. We show
openaire +1 more source
Separate and Combined Ratio Estimators for the Median [PDF]
The Egyptian Statistical Journal, 1999 In this paper, two methods for median estimation for stratified random sample are suggested. We had suggested two median estimators for stratified sample (Hussein 1999). The position and stratified estimators suggested earlier are applicable in situation
Mounira Hussein
doaj +1 more source
Use of an efficient unbiased estimator for finite population mean.
PLoS ONE, 2022 In this study, we propose an improved unbiased estimator in estimating the finite population mean using a single auxiliary variable and rank of the auxiliary variable by adopting the Hartley-Ross procedure when some parameters of the auxiliary variable ...
Javid Shabbir, Ronald Onyango
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Dexterous Estimation of Population Mean in Survey Sampling Under Non-Response Error [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables.
S. K. Yadav, O. P. Yadav, D. K. Yadav
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Modified Estimator of Finite Population Variance under Stratified Random Sampling
Engineering Proceedings, 2023 This paper proposes a generalized estimator of finite population variance using the auxiliary information under stratified random sampling. The expressions for bias and mean square error equations of the proposed estimator up to the first degree of ...
Yahaya Zakari, Isah Muhammad
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Classes of combined population mean estimators utilizing transformed variables under double sampling with application to air pollution in Chiang Rai, Thailand [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 The transformation method can be used to increase the efficiency of the variable of interest for estimating population mean. Two classes of combined population mean estimators utilizing transformation on an auxiliary variable and on both an auxiliary ...
Natthapat Thongsak, Nuanpan Lawson
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Estimation of Finite Population Ratio When Other Auxiliary Variables are Available in the Study
Austrian Journal of Statistics, 2014 The estimation of the population total $t_y,$ by using one or more auxiliary variables, and the population ratio $\theta_{xy}=t_y/t_x,$ $t_x$ is the population total for the auxiliary variable $X$, for a finite population are heavily discussed in the ...
Jehad Al-Jararha, Ala' Bataineh
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Auxiliary variable-based identification algorithms for uncertain-input models
, 2020 This study presents two auxiliary variable-based identification algorithms for uncertain-input models. The auxiliary variable-based least squares algorithm can obtain unbiased parameter estimates by introducing suitable auxiliary variable vectors ...
Zhu, Quanmin +3 more
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