Results 291 to 300 of about 11,858,600 (367)

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
semanticscholar   +3 more sources

Optimal Significance Levels for Application of the Least Significant Difference in Crop Performance Trials¹

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
semanticscholar   +3 more sources

Maximum familywise Type I error rate: The least significant difference, Newman-Keuls, and other multiple comparison procedures.

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, Joanne C. Keselman, Paul A. Games   +2 more
semanticscholar   +4 more sources

Measuring User Perceptions of Popular Transportation Project Delivery Methods Using Least Significant Difference Intervals and Multiple Range Tests

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.
Evan Bingham, G. Edward Gibson, Mounir El Asmar   +2 more
semanticscholar   +3 more sources

Monitoring a Three-Armed Clinical Trial with Survival Endpoints: Fisher's Least Significant Difference Approach

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
semanticscholar   +4 more sources

Fisher’s Least Significant Difference Test

The SAGE Encyclopedia of Research Design, 2022
semanticscholar   +3 more sources

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Photovoltaic Array Fault Detection Algorithm Based on Least Significant Difference Test

Workshop on Engineering Applications, 2020
One major concern in solar systems is the health of the solar installation, specifically related to the undetected faults in the photovoltaic array. Any fault in the array could provoke power losses in the system and may generate security risks for the operative and technical personnel.
Luis Diego Murillo-Soto, Carlos Meza
openaire   +2 more sources

Least Significant Difference Test

1987
When the F-ratio determined by analysis of variance indicates a significant difference between sample means, it is desirable to determine which means are significantly different. The Newman-Keuls test (Procedure 36) is applicable for this purpose. When the sample sizes are equal, additional tests (besides Newman-Keuls) may be used.
Ronald J. Tallarida, Rodney B. Murray
openaire   +2 more sources

The Maximum Familywise Error Rate of Fisher's Least Significant Difference Test

Journal of the American Statistical Association, 1986
Abstract In this article an investigation is made of the maximum familywise error rate (MFWER) of Fisher's least significant difference (LSD) test for testing the equality of k population means in a one-way layout. An exact expression for the MFWER is derived (see Theorem 1) for all balanced models and for an unbalanced model with k = 3 populations ...
A. Hayter
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Normal values and least significant differences for differential leukocyte counts

Journal of Chronic Diseases, 1975
Abstract Statistical considerations lead to the conclusion that some of the usual limits of normal values for differential leukocyte counts cannot be realistic. When only 100 of 200 cells are examined, the inaccuracy inherent in the counting method can alone produce the ‘range’ found between these limits.
C L, Rümke, P D, Bezemer, D J, Kuik
openaire   +3 more sources