Statistical Tables for Biological, Agricultural and Medical Research.

By G. W. Snedecor, R. Fisher, F. Yates. 1939

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Citations in the corpus

Private Stateful Information Retrieval (2018, methodology): “We also use procedure FisherYates(1m ,Kk ) that samples a random permutation of [m] using the Fisher-Yates algorithm and using F(Kk , ·) as the source of randomness.”
Genetic Variability, Heritability and Genetic Advance for Yield and itsRelated Traits in Rainfed Lowland Rice ( Oryza sativa L.) Genotypes atFogera and Pawe, Ethiopia (2017, background): “Fourteen quantitative traits of morphological data at appropriate growth stage of rice plant were collected and recorded on plot and plant basis according to two rice descriptors and Bioversity International [17].”
Statistical Design and Analysis of RNA Sequencing Data (2010, background): “Extensive lists of other BIBDs are given in F isher and Y ates (1963) and C ochran and C ox (1957).”
Logit Models from Economics and Other Fields: The origins and development of the logit model (2003, methodology): “Values of the normal distribution (and of exponentials and logarithms) were obtained from printed tables like Pearson’s Biometrika Tables or the Statistical Tables of Fisher and Yates (1938).”
A meta-analysis of play therapy outcomes (2001, methodology): “In studies where only sample means, sample sizes, and probabilities of tests of signi cance were reported, the test statistics were determined by using tables (i.e., Fisher and Yates, 1963) to estimate the test statistic associated with the probabilities.”
The Subgroup Algorithm for Generating Uniform Random Variables (1987, unknown): “Moses (personal communication) found a similar idea in Fisher and Yates [15, p. 20].”
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm (2016, methodology): “(ii) All values of Simrp are randomly permutated for drug pairs using Fisher-Yates shuffling (Fisher and Yates, 1938) to form randomized drug similarities, and the percentage is calculated in the same way as step one.”
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling (2017, background): “Fisher-Yates shuffle may introduce potential bias and implementation errors to make the permutation are not uniformly distributed in practice [11].”
The efficiency of a durum wheat-winter pea intercrop to improve yield and wheat grain protein concentration depends on N availability during early growth (2010, methodology): “Correlation coefficients calculated from linear regressions were statistically analysed using the table proposed by Fisher and Yates (1938).”
Codes for network switches (2013, unknown): “Example 3 Take D1 as the block design with R = 25 elements and 50 blocks of size 4 (see [2]).”