Results 21 to 30 of about 2,618,656 (372)

Electronic System for Managing Theses of Computer Science College [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2021
This research paper includes designing and implementing of an Electronic system for  managing theses of  College of Computer Science and Mathematics, University of Mosul, using replication, C # language and MS SQL Server 2008 databases to be a ...
Dhafar Al-Ali, Auday Al Wattar
doaj   +1 more source

An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies. [PDF]

open access: yesPLoS Genetics, 2015
Characterizing the distribution of effects from genome-wide genotyping data is crucial for understanding important aspects of the genetic architecture of complex traits, such as number or proportion of non-null loci, average proportion of phenotypic ...
Wesley K Thompson   +10 more
doaj   +1 more source

Survival in the replicator model: Dynamics and statistics

open access: green, 2002
Latex, style file: ws-acs.cls (attached). 17 pages including 10 figures in eps format.
Sebastián Bouzat, Damián H. Zanette
openalex   +4 more sources

Statistical heartburn: an attempt to digest four pizza publications from the Cornell Food and Brand Lab

open access: yesBMC Nutrition, 2017
Background We present the results of a reanalysis of four articles from the Cornell Food and Brand Lab based on data collected from diners at an Italian restaurant buffet.
Tim van der Zee   +2 more
doaj   +1 more source

A new standard for the analysis and design of replication studies [PDF]

open access: yesJournal of the Royal Statistical Society: Series A (Statistics in Society), 2018
A new standard is proposed for the evidential assessment of replication studies. The approach combines a specific reverse Bayes technique with prior‐predictive tail probabilities to define replication success.
L. Held
semanticscholar   +1 more source

Statistical physics of self-replication [PDF]

open access: yesThe 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 ...
openaire   +5 more sources

Z-Curve.2.0: Estimating Replication Rates and Discovery Rates

open access: yesMeta-Psychology, 2020
This article introduces z-curve.2.0 as a method that estimates the expected replication rate (ERR) and the expected discovery rate (EDR) based on the test-statistics of studies selected for significance.
František Bartoš, U. Schimmack
semanticscholar   +1 more source

Replication to assess statistical adequacy [PDF]

open access: yesEconomics, 2018
Abstract‘Statistical adequacy’ is an important prerequisite for securing reliable inference in empirical modelling. This paper argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are based on statistically adequate models, i.e., models with valid underpinning statistical assumptions that ...
openaire   +6 more sources

A statistical definition for reproducibility and replicability [PDF]

open access: yes, 2016
AbstractEveryone agrees that reproducibility and replicability are fundamental characteristics of scientific studies. These topics are attracting increasing attention, scrutiny, and debate both in the popular press and the scientific literature. But there are no formal statistical definitions for these concepts, which leads to confusion since the same ...
Patil, Prasad   +2 more
openaire   +2 more sources

Improving the stability of bivariate correlations using informative Bayesian priors: a Monte Carlo simulation study

open access: yesFrontiers 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
doaj   +1 more source

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