Results 31 to 40 of about 2,118,512 (295)
Small sample bias correction or bias reduction?
Communications in Statistics - Simulation and Computation, 2019 Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood or of similar types).
Xuemao Zhang, Sudhir Paul, You-Gan Wang
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A Jackknife Correction to a Test for Cointegration Rank
Econometrics, 2015 This paper investigates the performance of a jackknife correction to a test for cointegration rank in a vector autoregressive system. The limiting distributions of the jackknife-corrected statistics are derived and the critical values of these ...
Marcus J. Chambers
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Reducing approach bias to achieve smoking cessation : a pilot randomized placebo-controlled trial [PDF]
, 2019 This study aimed to provide a preliminary test of the efficacy of a brief cognitive bias modification program for reducing approach bias in adult smokers motivated to quit.
Baird, Scarlett O'hara
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β-divergence loss for the kernel density estimation with bias reduced
Statistical Theory and Related Fields, 2021 In this paper, we investigate the problem of estimating the probability density function. The kernel density estimation with bias reduced is nowadays a standard technique in explorative data analysis, there is still a big dispute on how to assess the ...
Hamza Dhaker +2 more
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Animals Like Us: Leveraging the Negativity Bias in Anthropomorphism to Reduce Beef Consumption
Foods, 2021 Our current work contributes to the literature of meat consumption reduction. Capitalizing on the inherent humanizing characteristic of anthropomorphism coupled with leveraging negativity bias, we created a novel approach to reduce meat-eating intention.
Ziad Choueiki +2 more
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Position Determination for Moving Transmitter Using Single Station
IEEE Access, 2018 A common case in location problem is that the terminal is unstable or moving. The classical methods construct equations related to the measurements observed at the individual receivers first, and then solves the problem to localize the source.
Yimao Sun, Qun Wan
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Frontiers in Human DynamicsIntroductionThe primary objective of the current paper is to understand the impact of Generative AI Tools on the recruitment process, on their effectiveness in addressing bias, enhancing efficiency, and ensuring accurate candidate evaluation and looking ...
Sameh Abdelhay +6 more
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Geophysical Research Letters, 2017 Multimodel ensemble (MME) is considered the most reliable for both present‐day and future climate simulations. However, the conventional MME approach can create physical inconsistencies between climate variables. It can also be computationally inhibiting
Amir Erfanian +3 more
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Belief in free will affects causal attributions when judging others' behavior [PDF]
, 2017 Free will is a cornerstone of our society, and psychological research demonstrates that questioning its existence impacts social behavior. ;In six studies, we tested whether believing in free will is related to the correspondence bias, which reflects ...
Brass, Marcel +2 more
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Reduction of taxonomic bias in diatom species data [PDF]
Limnology and Oceanography: Methods, 2020 AbstractInconsistency in taxonomic identification and analyst bias impede the effective use of diatom data in regional and national stream and lake surveys. In this study, we evaluated the effect of existing protocols and a revised protocol on the precision of diatom species counts.
Meredith A. Tyree +4 more
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