Results 261 to 270 of about 58,542 (312)
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Shape bias of robust covariance estimators: an empirical study
Statistical Papers, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hubert, M., Rousseeuw, P., Vakili, K.
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BIAS IN AN ESTIMATOR OF THE FRACTIONAL DIFFERENCE PARAMETER
Journal of Time Series Analysis, 1993Abstract. An estimator of the difference parameter in a class of long‐memory time series models is examined. It is shown that, in particular circumstances, the estimator can be badly biased, and tests based on it consequently seriously misleading.
Christos Agiakloglou +2 more
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The Nottingham Adjustment Scale: An Estimation of Response Bias
Journal of Visual Impairment & Blindness, 1996This study found that items in the subsections on acceptance of sight loss and attitudes toward blindness of the Nottingham Adjustment Scale are free of response bias. Respondents who were given only negative items disagreed significantly more with them than did those who were given both negative and positive statements.
A.G. Dodds, D. Craig, H. Flannigan
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Bias-by-selection: The accuracy of an unbiased estimator
Accident Analysis & Prevention, 1983In a previous paper, a method for the elimination of bias-by-selection from before-and-after comparisons has been suggested. While the suggested estimator is unbiased, there is reason to be concerned about its precision. In this paper expressions are obtained for the variance of the unbiased estimator and the mean square error of the commonly used ...
Ezra Hauer, Philip Byer, H.C. Joksch
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European Journal of Epidemiology, 2005
The measurement of lifetime prevalence of depression in cross-sectional surveys is biased by recall problems. We estimated it indirectly for two countries using modelling, and quantified the underestimation in the empirical estimate for one. A microsimulation model was used to generate population-based epidemiological measures of depression.
Kruijshaar, M. . +5 more
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The measurement of lifetime prevalence of depression in cross-sectional surveys is biased by recall problems. We estimated it indirectly for two countries using modelling, and quantified the underestimation in the empirical estimate for one. A microsimulation model was used to generate population-based epidemiological measures of depression.
Kruijshaar, M. . +5 more
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Analysis and reduction of estimation bias for an iterative frequency estimator of complex sinusoid
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013Frequency estimation of a complex sinusoidal signal is a fundamental problem in signal processing. In this regard, Aboutanios and Mulgrew (A&M) proposed an iterative frequency estimator which can approach the theoretical bound in two iterations, thus, made it one of the best iterative estimators. In this paper, we theoretically analyze the two versions
Jan-Ray Liao, Chun-Ming Chen
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Estimation of the Bias of the Maximum Likelihood Estimators in an Extreme Value Context
Communications in Statistics - Theory and Methods, 2011Interest is centered on the maximum likelihood (ML) estimators of the parameters of the Generalized Pareto Distribution in an extreme value context. Our aim consists of reducing the bias of these estimates for which no explicit expression is available.
Jan Beirlant +2 more
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Estimation of bias and standard error of an improved estimator of normal mean
Metrika, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An asymptotically most Bias-Robust invariant estimator of location
1987Huber (1981) has shown that for symmetric and unimodal parent distribution function the asymptotically most bias-robust sequence of invariant estimators of the location parameter under ɛ-contamination is the sequence of sample medians. We show, without the assumption of symmetry, that XL(n):n−C, n≥1, for X i:n being ith order statistic in the sample X1,
Tomasz Rychlik, Ryszard Zieliński
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Estimating the Evaporative Cooling Bias of an Airborne Reverse Flow Thermometer
Journal of Atmospheric and Oceanic Technology, 2009Abstract Airborne reverse flow immersion thermometers were designed to prevent sensor wetting in cloud. Yet there is strong evidence that some wetting does occur and therefore also sensor evaporative cooling as the aircraft exits a cloud.
Bart Geerts, Yonggang Wang
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