bias reduction
Jackknife bias reduction in autoregressive models with a unit root
... of bias reduction in the estimation of autoregressive models with a unit ...first-order bias as intended, but that an ‘optimal’ jackknife estimator can be de- fined that is capable of removing this ...
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Median bias reduction in random effects meta analysis and meta regression
... median bias-reducing adjusted score functions for random-effects meta-analysis and ...median bias reduction are both of order O(1), the same arguments as in Kosmidis et ...median bias ...
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Bias reduction in kernel density estimation via Lipschitz condition
... achieves bias reduction relative to the classical Rosenblatt-Parzen ...for bias reduction, our estimator has a full asymptotic characterization including uniform consistency and asymptotic ...
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Mean and median bias reduction in generalized linear models
... This paper presents a unified approach for mean and median bias reduction (BR) in GLMs using adjusted score functions (Firth 1993; Kosmidis and Firth 2009; and Kenne Pagui et al. 2017, respectively). ...
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Multinomial logit bias reduction via Poisson log linear model
... This is a pre-copyedited, author-produced version of an article accepted for publication in Biometrika following peer review. The version of record Ioannis Kosmidis, David Firth; Multinomial logit bias ...
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Bias reduction for TDOA localization in the presence of receiver position errors and synchronization clock bias
... clock bias play im- portant roles in TDOA localization because they deterior- ate the positioning accuracy [29, 32, ...clock bias has been intensively stud- ied in recent ...clock bias is assumed to ...
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Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
... Heckman, J. J. 1977. Sample selection bias as a specification error (with an application to the estimation of labor supply functions). Hoffman, J.; Tzeng, E.; Park, T.; Zhu, J.-Y.; Isola, P.; Saenko, K.; Efros, A. ...
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Probing Bias Reduction to Improve Comparability of Lint Cotton Water and Moisture Contents at Moisture Equilibrium
... According to ASTM (see Acknowledgment), the tighter humidity tolerance ± 0.5% on D7785 can be documented as a note to the precision and bias sec- tion of the method, which is expected to provide for better ...
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Some Improvement on Convergence Rates of Kernel Density Estimator
... the bias by employing larger smoothing parameters in low density regions, while [5] introduced the idea of inadmissible kernels which also results in reduced ...the bias at boundaries. Article [9] ...
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Bias in parametric estimation : reduction and useful side effects
... reducing bias, it is necessary to emphasize again that bias neces- sarily depends on the parameterization of the model; if the bias of any estimator ̂𝜃 is reduced resulting to a less biased estimator ...
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On iterative adjustment of responses for the reduction of bias in binary regression models
... order bias can be obtained simply by the use of existing maximum likelihood implementations and appropriately adjusted responses and ...the bias-reduced estimator as well as its better performance in terms ...
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Bias Assessment and Reduction in Kernel Smoothing
... The problem of smoothing a scatterplot has been considered by numerous authors, going back to the pioneering work of Nadaraya (1964) and Watson (1964). Those papers introduced ker- nel methods for regression. The books ...
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A generic algorithm for reducing bias in parametric estimation
... For Beta regression models, Ospina et al. [23] express the vector b(β ) of the first-order biases of ˆ β as the estimator of the regression coefficients of an appro- priately weighted linear regression. A similar result ...
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Simulation-based Valuation and Counterparty Exposure Estimation of American Options
... to bias reduction for Monte Carlo pricing of early-exercise ...general bias-reduction technique, based on large sample theory, that corrects stochastic tree estima- ...the bias due to ...
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On Bias free Crawling and Representative Web Corpora
... tain bias-reduced samples from the ...of bias-reduced web corpus sampling for cor- pus ...for bias-reduced sampling if com- bined with methods of post-crawl rejection ...that bias ...
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Parenting interventions for the prevention of unintentional injuries in childhood
... a reduction in in- juries may have occurred via a range of mechanisms including increasing the ability of parents to manage minor injuries with- out medical help (Kitzman 1997), improvements in the qual- ity of ...
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Reducing decision errors in the paired comparison of the diagnostic accuracy of screening tests with Gaussian outcomes
... trial bias, a bias for which there is no other cor- rection ...trial bias. The proposed method will counteract bias in the paired trials and allow inves- tigators to compare screening tests ...
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The effect of rapamycin treatment on cerebral ischemia: A systematic review and meta analysis of animal model studies
... This systematic review and meta-analysis supports the overall efficacy of rapamycin improving both histological and functional outcomes in animal models of acute ischemic stroke. Infarct volumes and behavioral scores ...
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Time loss bias and reducing the bias by instruction
... saving bias, although in all these cases the bias was not totally ...the bias can be debiased ...saving bias can be successfully debiased by using ...saving bias. Debiasing a certain ...
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Novel Directional Adaptive Relaxation Parameters for MUSIC-Like Algorithm
... With the result obtained from Eq. (5), it can be observed that the choice of β P ( θ ) is associated with an inverse of Pisarenko’s output [23], which is an inner product between an eigenvector u M and the steering ...
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