Results 11 to 20 of about 2,339,539 (318)
Statistical methods for replicability assessment [PDF]
The Annals of Applied Statistics, 2020 Large-scale replication studies like the Reproducibility Project: Psychology (RP:P) provide invaluable systematic data on scientific replicability, but most analyses and interpretations of the data fail to agree on the definition of "replicability" and disentangle the inexorable consequences of known selection bias from competing explanations.
Hung, Kenneth, Fithian, William
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Statistical Inference and the Replication Crisis [PDF]
Review of Philosophy and Psychology, 2018 AbstractThe replication crisis has prompted many to call for statistical reform within the psychological sciences. Here we examine issues within Frequentist statistics that may have led to the replication crisis, and we examine the alternative—Bayesian statistics—that many have suggested as a replacement.
Lincoln J. Colling, Dénes Szűcs
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Statistical physics of self-replication [PDF]
The Journal of Chemical Physics, 2013 Self-replication is a capacity common to every species of living thing, and simple physical intuition dictates that such a process must invariably be fueled by the production of entropy. Here, we undertake to make this intuition rigorous and quantitative by deriving a lower bound for the amount of heat that is produced during a process of self ...
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The American Statistician, 2018 Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased reported effect sizes.
Amrhein, Valentin +2 more
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Identifying Statistical Bias in Dataset Replication
CoRR, 2020 Dataset replication is a useful tool for assessing whether improvements in test accuracy on a specific benchmark correspond to improvements in models' ability to generalize reliably. In this work, we present unintuitive yet significant ways in which standard approaches to dataset replication introduce statistical bias, skewing the resulting ...
Logan Engstrom +5 more
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Frontiers in Psychology, 2023 ObjectiveMuch of psychological research has suffered from small sample sizes and low statistical power, resulting in unstable parameter estimates. The Bayesian approach offers a promising solution by incorporating prior knowledge into statistical models,
Carl Delfin, Carl Delfin
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Is spacing really the friend of induction?
Frontiers in Psychology, 2014 Inductive learning takes place when people learn a new concept or category by observing a variety of exemplars. Kornell and Bjork (2008) asked participants to learn new painting styles either by presenting different paintings of the same artist ...
Peter eVerkoeijen, Samantha eBouwmeester
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Frontiers in Psychology, 2016 In response to concerns about the validity of empirical findings in psychology, some scientists use replication studies as a way to validate good science and to identify poor science.
Greg Francis
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Statistical Analysis of a Hybrid Replication Model [PDF]
, 2002 Replication is a technique commonly used to provide high-availability and fault tolerance in distributed systems. With multiple copies of the entities, a service can keep operation even when some copies are inaccessible because of a crash of the computer where a copy was stored, for instance.
Emerson Rogério de Oliveira Junior +1 more
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BMC Biology, 2023 Canadian policymakers are interested in determining whether farmed Atlantic salmon, frequently infected with Piscine orthoreovirus (PRV), may threaten wild salmon populations in the Pacific Northwest.
Shinichi Nakagawa, Malgorzata Lagisz
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