Results 31 to 40 of about 29,172,517 (275)

Type I error across scenario.

, 2023
Type I error at nominal level α = 0.05, 0.01 and 0.001 for each scenario (see S8 Table) for our 4 ensemble methods and 59 state-of-the-art methods. Evolution of type I error: the difference between two experiments.
Miikka Vikkula (33969), Simon Boutry (10956118), Raphaël Helaers (796995), Tom Lenaerts (21921)   +3 more
core   +1 more source

Further Bounds for the Estimation Error Variance of a Continuous Stream with Stationary Variogram [PDF]

, 1999
In this paper we establish an upper bound for the estimation error variance of a continuous stream with a stationary variogram V which is assumed to be of r-Hölder type (Lipschitzian) on [-d, d]
Dragomir, Sever S, Barnett, Neil S, Gomm, Ian   +2 more
core   +6 more sources

New metrics for multiple testing with correlated outcomes

Frontiers in Applied Mathematics and Statistics, 2023
When investigators test multiple outcomes or fit different model specifications to the same dataset, as in multiverse analyses, the resulting test statistics may be correlated.
Maya B. Mathur, Tyler J. VanderWeele
doaj   +1 more source

Error file

, 2023
<p>Error file</p ...
Error file, Error file
core   +1 more source

Bilimsel Çalışmalarda P-Değerinin Rapor Edilmesi P

Journal of Agricultural Sciences, 2005
Bilindiği üzere bilimsel çalışmaların sonuçları genellikle P-değerinden yararlanılarak rapor edilmektedir.
Serkan Subaşı, Mehmet Mendeş, Ensar Başpınar   +2 more
doaj   +1 more source

Uygun Simulasyon Sayısının Belirlenmesi: Monte Carlo Simülasyon Çalışması

Journal of Agricultural Sciences, 2005
Biyolojik, sosyal, ziraat, tıp ve ekonomik olayların modellenmesinde simülasyon teknikleri oldukça önemlidir. Dolayısıyla, denemenin planlanması aşamasında kaç simülasyon denemesinin yapılacağı sorusu oldukça önemli bir sorudur.
Mehmet Mendeş
doaj   +1 more source

Testing hypotheses under covariate-adaptive randomisation and additive models

Statistical Theory and Related Fields, 2018
Covariate-adaptive randomisation has a long history of applications in clinical trials. Shao, Yu, and Zhong [(2010). A theory for testing hypotheses under covariate-adaptive randomization. Biometrika, 97, 347–360] and Shao and Yu [(2013).
Ting Ye
doaj   +1 more source

Familywise type I error of ANOVA and ANOVA on ranks in factorial experiments

Ciência Rural, 2022
: This research evaluated the importance of a preliminary general analysis of variance (ANOVA) in the interpretation of data from factorial experiments under total nullity. For this, we evaluated the familywise type I error rate (accumulated FWER) of the
André Mundstock Xavier de Carvalho, Matheus Romano de Souza, Tadeu Bernardes Marques, Davi Leite de Souza, Emanuel Fernando Maia de Souza   +4 more
doaj   +1 more source

Type I Error Rates are Not Usually Inflated

Journal of Trial and Error
The inflation of Type I error rates is thought to be one of the causes of the replication crisis. Questionable research practices such as p-hacking are thought to inflate Type I error rates above their nominal level, leading to unexpectedly high levels ...
Mark Rubin
doaj   +1 more source

Assessing the impact of differential genotyping errors on rare variant tests of association. [PDF]

PLoS ONE, 2013
Genotyping errors are well-known to impact the power and type I error rate in single marker tests of association. Genotyping errors that happen according to the same process in cases and controls are known as non-differential genotyping errors, whereas ...
Morgan Mayer-Jochimsen, Shannon Fast, Nathan L Tintle   +2 more
doaj   +1 more source