Results 301 to 310 of about 607,887 (313)
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Critical Replications for Statistical Design
1988While writing a new book [Wiley ’87] I found several distinct statistical problems, each with a separate solution, but all in need of a higher principle of justification. I looked in vain into statistics for a higher principle or criterion which we need to serve as a common foundation for those similar solutions.
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Statistical Comparison of Original and Replicated Surfaces
2019This article is focused on the statistical comparison of the original and replicated surface. Surface replication has been used for a long time, but recently a material with the commercial name Dentacryl™ has been used for the replication. However, this material has some disadvantages that outweigh the benefits.
Milena Kubišová +3 more
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Multivariate Behavioral Research, 2017
Psychology is undergoing a replication crisis. The discussion surrounding this crisis has centered on mistrust of previous findings. Researchers planning replication studies often use the original study sample effect size as the basis for sample size planning.
Samantha F, Anderson, Scott E, Maxwell
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Psychology is undergoing a replication crisis. The discussion surrounding this crisis has centered on mistrust of previous findings. Researchers planning replication studies often use the original study sample effect size as the basis for sample size planning.
Samantha F, Anderson, Scott E, Maxwell
openaire +2 more sources
Journal of Clinical Psychopharmacology, 2018
David L, Streiner, Geoffrey R, Norman
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David L, Streiner, Geoffrey R, Norman
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Replication of Data Makes Statistical Analysis Difficult
Anesthesia & Analgesia, 2017openaire +2 more sources
On the Genuine Replicate Design for Statistical Calibration
2008Let us consider the problem involving measurements on one variable taken using two instruments or methods: one is very precise but slow and expensive and another is very quick, cheap but less precise. We are interested in estimating the value of precise measure X corresponding to the value of the imprecise measure Y.
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