Results 281 to 290 of about 7,450,685 (340)
A note on the power of Fisher's least significant difference procedure
Pharmaceutical Statistics, 2006 AbstractFisher's least significant difference (LSD) procedure is a two‐step testing procedure for pairwise comparisons of several treatment groups. In the first step of the procedure, a global test is performed for the null hypothesis that the expected means of all treatment groups under study are equal.
Ulrich Meier
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International Journal of Management Science and Engineering Management, 2010 Abstract Multiple response problems encompass three stages: data gathering, model building and optimization. Most of existing approaches in literature don’t incorporate the obtained effects of modeling stage while these results can be employed in optimization.
Mahdi Bashiri, Majid Ramezani
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Journal of Biopharmaceutical Statistics, 2004 Researchers have long recognized the importance of monitoring trials to determine whether to terminate a trial early or change a trial because of a substantial treatment effect. Fisher's least significant difference (LSD) procedure has been suggested by Proschan et al. [Proschan, M. A., Follmann, D. A., Geller, N. L. (1994).
Pai-Lien Chen, Rosalie Dominik
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Agronomy Journal, 1989 AbstractMany agronomic experiments with complete factorial treatment designs are conducted in two or more environments. If at least one of the treatment factors is qualitative, the combined analysis may appropriately include pairwise comparisons of various treatment means averaged over environments.
W. M. Walker +2 more
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Crop Science, 1976 Studies in the context of crop performance trials were undertaken to determine the effects of the frequencies of three types of statistical errors, the relative scriousness of these errors, and the frequency distribution of true differences between means in the application of the least significant difference (L.S.D.) for pairwise multiple comparisons ...
S. G. Carmer
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Bayes Least Significant Difference: A Review and Comparison1
Agronomy Journal, 1978 AbstractThe Bayesian approach to mean separation overcomes the objections to previous least significant difference (LSD) procedures by having a direct dependence upon the calculated F value. This procedure has the power of a comparisonwise approach when F is moderate to large in size and is conservative at F values less than about 3.0.
C. Wayne Smith
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Journal of Construction Engineering and Management, 2018 AbstractOne of the most critical decisions made by transportation project stakeholders is the choice of a project delivery method for their project.
G. Edward Gibson +2 more
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Psychological Bulletin, 1991 This article argues that the most reasonable and cautious definition of error rate in the multiple comparisons problem is the maximum familywise rate of Type I error (MFWER), that is, the maximum error rate attainable under all possible null hypotheses.
H. J. Keselman +2 more
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Analysis of Information Hiding in Least Significant Bit for Image Based on Difference Histogram
Advanced Materials Research, 2011 The analysis technology of Information hiding is introduced. Through the analysis of examples of the different carriers embedded in the same format images and the same carriers embedded in different format images, difference histogram can be used to detect the information hiding in least significant bit.
Yang Li, Ya Luo
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