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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
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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.
Ya Luo, Yang Li
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A note on the power of Fisher's least significant difference procedure
Pharmaceutical Statistics, 2006AbstractFisher'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.
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