Results 1 to 10 of about 304,459 (351)
Fixing Bias in Zipf's Law Estimators Using Approximate Bayesian Computation [PDF]
Scientific Reports, 2020 AbstractThe prevailing maximum likelihood estimators for inferring power law models from rank-frequency data are biased. The source of this bias is an inappropriate likelihood function. The correct likelihood function is derived and shown to be computationally intractable. A more computationally efficient method of approximate Bayesian computation (ABC)
Charlie Pilgrim, Thomas T. Hills
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Inference in group sequential designs with causal mechanisms: implications for power and mediation analysis [PDF]
BMC Medical Research MethodologyBackground Group sequential designs are increasingly employed to allow trials to stop early with statistical rigor. While existing work focuses on intention-to-treat effect on clinical endpoints, the properties of mediation analysis (commonly conducted ...
Kim May Lee, Richard Emsley
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An assessment of Bayesian bias estimator for numerical weather prediction [PDF]
Nonlinear Processes in Geophysics, 2008 Various statistical methods are used to process operational Numerical Weather Prediction (NWP) products with the aim of reducing forecast errors and they often require sufficiently large training data sets.
J. Son, D. Hou, Z. Toth
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Beta Kernel Estimator for a Cumulative Distribution Function with Bounded Support [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 Kernel estimation of the cumulative distribution function (CDF), when the support of the data is bounded, suffers from bias at the boundaries. To solve this problem, we introduce a new estimator for the CDF with support (0,1) based on the beta kernel ...
Behzad Mansouri +2 more
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Synthesized randomized response techniques
Scientific African, 2023 Reducing response bias in survey research is important in ensuring that the data collected accurately represents the population of interest. This study proposes the synthesized random response technique (SRRT) estimator as an efficient method to reduce ...
Isaac O. Adeniyi, Olusegun S. Ewemooje
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Computation, 2023 In this paper, we investigate the performance of a variety of frequentist estimation techniques for the scale and shape parameters of the Lomax distribution.
Thobeka Nombebe +3 more
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Estimation of average treatment effect based on a multi-index propensity score
BMC Medical Research Methodology, 2022 Background Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confounding bias when using observational data to ...
Jiaqin Xu +7 more
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Bias Estimation in Sensor Networks [PDF]
IEEE Transactions on Control of Network Systems, 2020 12 pages, 8 ...
Mingming Shi +3 more
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Study of Dual to Ratio-Cum-Product Estimator of Finite Population Mean under Double Sampling in Sample Surveys [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 A class of estimator based on dual to ratio and dual to product-type estimator in double sampling for estimating finite population mean is proposed. The bias and mean square error of the proposed estimator are obtained in two different cases.
Sanjib Choudhury, Bhupendra Kumar Singh
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Bias in estimators of archaic admixture [PDF]
Theoretical Population Biology, 2015 This article evaluates bias in one class of methods used to estimate archaic admixture in modern humans. These methods study the pattern of allele sharing among modern and archaic genomes. They are sensitive to "ghost" admixture, which occurs when a population receives archaic DNA from sources not acknowledged by the statistical model.
Alan R. Rogers, Ryan J. Bohlender
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