Results 11 to 20 of about 304,459 (351)
Bias Robust Estimation of Scale [PDF]
The Annals of Statistics, 1991 The problem of robust estimation of the scale of the location residuals is considered when the underlying distribution of the data belongs to a contamination neighborhood of a parametric location-scale family. A class of \(M\)-estimates of scale with general location is defined.
Martin, R. D., Zamar, Ruben H.
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Higher Order Bias Correcting Moment Equation for M-Estimation and Its Higher Order Efficiency
Econometrics, 2016 This paper studies an alternative bias correction for the M-estimator, which is obtained by correcting the moment equations in the spirit of Firth (1993).
Kyoo il Kim
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A new exponential estimator for finite population mean under double sampling using one auxiliary variable [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2019 This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014).
Wuttichai Srisodaphol, Montip Tiensuwan
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Direct Reduction of Bias of the Classical Hill Estimator
Revstat Statistical Journal, 2005 In this paper we are interested in an adequate estimation of the dominant component of the bias of Hill’s estimator of a positive tail index γ, in order to remove it from the classical Hill estimator in different asymptotically equivalent ways.
Frederico Caeiro +2 more
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Reducing effects of dispersal on the bias of 2-sample mark-recapture estimators of stream fish abundance. [PDF]
PLoS ONE, 2018 The 2-sample mark-recapture method with Chapman's estimator is often used by inland fishery managers to estimate the reach-scale abundance of stream fish.
James N McNair +3 more
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Revstat Statistical Journal, 2011 Sousa and Michailidis (2004) developed the sum plot based on the Hill (1975) estimator as a diagnostic tool for selecting the optimal k when the distribution is heavy tailed.
J. Beirlant , E. Boniphace , G. Dierckx
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A new method of joint nonparametric estimation of probability density and its support
, 2017 In this paper we propose a new method of joint nonparametric estimation of probability density and its support. As is well known, nonparametric kernel density estimator has "boundary bias problem" when the support of the population density is not the ...
Brown, André EX (5398142) +11 more
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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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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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Asymptotics for penalized additive B-spline regression [PDF]
, 2011 This paper is concerned with asymptotic theory for penalized spline estimator in bivariate additive model. The focus of this paper is put upon the penalized spline estimator obtained by the backfitting algorithm.
Naito, K., Yoshida, T.
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