Results 271 to 280 of about 58,542 (312)
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An asymptotically most bias–stable estimator of location parameter

Statistics, 1987
In the paper, a sequence of equivariant estimators of location parameter which is asymptotically most bias–stable under nonidentically distributed disturbances in the metric of the KOLMOGOROV–LEVY type ,is constructed without any assumption about the location model. The sequence consists of properly chosen order statistics modified by adding a constant.
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An Epidemiologic Note on Verification Bias: Implications for Estimation of Rates

Journal of Gambling Studies, 1999
Two-stage designs offer several advantages for purposes of test validation and prevalence estimation. These include enhanced precision and increased cost-efficiency. Cost efficiency is obtained when the best available verification criterion is too expensive to employ in a large-scale epidemiologic study.
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Bias analysis of the instrumental variable estimator as an estimator of the average causal effect

Contemporary Clinical Trials, 2010
Noncompliance is a common problem in drawing causal inference in randomized trials. The instrumental variable (IV) method estimates the average causal effect in randomized trials with noncompliance. However, the IV estimator generally yields a biased estimate under a non-null hypothesis, although it can yield an unbiased estimate under a null ...
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Bias reduction of a tail index estimator through an external estimation of the second-order parameter

Statistics, 2004
In this paper, we first consider a class of consistent semi-parametric estimators of a positive tail index γ, parameterised in a tuning or control parameter α. Such a control parameter enables us to have access, for any available sample, to an estimator of the tail index γ with a null dominant component of asymptotic bias, and consequently with a ...
M. Ivette Gomes   +2 more
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An analysis of the bias of variation operators of estimation of distribution programming

Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Estimation of distribution programming (EDP) replaces standard GP variation operators with sampling from a learned probability model. To ensure a minimum amount of variation in a population, EDP adds random noise to the probabilities of random variables. This paper studies the bias of EDP's variation operator by performing random walks.
Dirk Schweim, Franz Rothlauf
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The Bias of Moment Estimators with an Application to the Negative Binomial Distribution

Biometrika, 1962
n where m8 = E xj/n, ,Is = 6'ms and q is a positive integer. The moments s are functions of the j=l h parameters (01, 02.O h)_ 0, and it is assumed that the second derivatives with respect to these parameters exist in some 0-interval. The range of the variate x is assumed to be independent of 0.
L. R. SHENTON, P. A. WALLINGTON
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Asymptotic Normality of an Entropy Estimator With Exponentially Decaying Bias

IEEE Transactions on Information Theory, 2013
This paper establishes the asymptotic normality of an entropy estimator with an exponentially decaying bias on any finite alphabet. Furthermore, it is shown that the nonparametric estimator is asymptotically efficient.
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An Evaluation of Bias in Estimated Breeding Values for Weaning Weight in August Beef Cattle Field Records. II. Estimates of Bias Due to Genetic Trend

Journal of Animal Science, 1984
Field records (53,989) from the American Angus Association were used to evaluate the impact of bias associated with genetic trend in estimated breeding values for weaning weight. Annual estimates of breeding values were calculated using the reported weaning weight ratios and ratios adjusted for estimated genetic trend.
W A, Zollinger, M K, Nielsen
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An Evaluation of Bias in Estimated Breeding Values for Weaning Weight in Angus Beef Cattle Field Records. III. Estimates of Bias due to Nonrandom Mating

Journal of Animal Science, 1984
Field records from 15 herds involved in the Angus Herd Improvement Records program of the American Angus Association indicated that positive assortative mating for weaning weight estimated breeding value (EBV) was being practiced. For each dam, a separate EBV was calculated from information on each progeny with all other progeny data deleted ...
W A, Zollinger, M K, Nielsen
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Bias and variance of spectral estimates from an all-pole digital filter

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
An adaptive digital filter, equivalent to a one step linear predictor, may be employed to determine spectral estimates closely related to the linear prediction all-pole model spectrum of the input signal. This paper presents an analysis of the bias and variance of this estimate for a filter using the Widrow-Hoff LMS algorithm. Results are compared with
B. Davis, W. Cowley
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