Results 21 to 30 of about 286,227 (342)
Statistica, 2007 This paper proposes an estimator for population proportion p possessing sensitive attribute under unknown repeated trials model envisaged by Singh and Joarder (1997). The exact bias and mean square error of the proposed estimators are worked out.
Housila P. Singh, N. Mathur
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Systematic Error Modeling and Bias Estimation [PDF]
Sensors, 2016 This paper analyzes the statistic properties of the systematic error in terms of range and bearing during the transformation process. Furthermore, we rely on a weighted nonlinear least square method to calculate the biases based on the proposed models. The results show the high performance of the proposed approach for error modeling and bias estimation.
Zhang, F, Knoll, A
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Efficient class of ratio cum median estimators for estimating the population median.
PLoS ONE, 2023 In estimation theory, the use of auxiliary information significantly improves precision while estimating population parameters. In this paper, an efficient class of ratio cum median estimators of the population median is suggested using simple random ...
Mir Subzar +6 more
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Nonparametric Estimates of Low Bias
Revstat Statistical Journal, 2010 REVSTAT-Statistical Journal, Vol. 10 No.
Christopher S. Withers +1 more
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Accuracy and Precision of Insect Density and Impact Estimates [PDF]
, 2017 In estimating insect density and impact, entomologists are understandably interested in accuracy of estimation, but they almost always are dealing with precision because of bias due to an invalid estimator, probability sampling, or nonsampling errors ...
Fowler, Gary W, Witter, John A
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Contraction bias in temporal estimation
Cognition, 2021 When asked to compare the perceptual features of two serially presented objects, participants are often biased to over- or under-estimate the difference in magnitude between the stimuli. Overestimation occurs consistently when a) the two stimuli are relatively small in magnitude and the first stimulus is larger in magnitude than the second; or b) the ...
Noam Tal-Perry, Shlomit Yuval-Greenberg
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Double Kernel Method Using Line Transect Sampling
Austrian Journal of Statistics, 2016 A double kernel method as an alternative to the classical kernel method is proposed to estimate the population abundance by using line transect sampling.
Omar Eidous, M.K. Shakhatreh
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Learning to Estimate Without Bias
IEEE Transactions on Signal Processing, 2023 The Gauss Markov theorem states that the weighted least squares estimator is a linear minimum variance unbiased estimation (MVUE) in linear models. In this paper, we take a first step towards extending this result to non linear settings via deep learning with bias constraints.
Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
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A Novel Sub-Type Mean Estimator for Ranked Set Sampling with Dual Auxiliary Variables
Journal of New Theory, 2023 This research introduces a novel sub-estimator designed to estimate the population mean under ranked set sampling, motivated by the new concept of a recently introduced sub-ratio estimator.
Eda Gizem Koçyiğit
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Bias analysis in entropy estimation [PDF]
Journal of Physics A: Mathematical and General, 2004 5 pages, 3 ...
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