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Cochran, William G. (1977). Sampling Techniques (Third ed.). Wiley. ISBN 0-471-16240-X. Statistical Methods Applied to Experiments in Agriculture and Biology by George W. Snedecor (Cochran contributed from the fifth (1956) edition) ISBN 0-8138-1561-4; Planning and Analysis of Observational Studies (edited by Lincoln E. Moses and Frederick ...
Statistical Methods. Author: George W. Snedecor Publication data: 1937, Collegiate Press Description: One of the first comprehensive texts on statistical methods. Reissued as Statistical Methods Applied to Experiments in Agriculture and Biology in 1940 and then again as Statistical Methods with Cochran, WG in 1967. A classic text.
This is since stratified sampling removes some of the variability in the specific number of elements per stratum, as occurs under SRS. [citation needed] Relatedly, Cochran (1977) provides a formula for the proportional increase in variance due to deviation from optimum allocation (what, in Kish's formulas, would be called L). [3]: 116
Cochran's test, [1] named after William G. Cochran, is a one-sided upper limit variance outlier statistical test .The C test is used to decide if a single estimate of a variance (or a standard deviation) is significantly larger than a group of variances (or standard deviations) with which the single estimate is supposed to be comparable.
The first of these sampling schemes is a double use of a sampling method introduced by Lahiri in 1951. [14] The algorithm here is based upon the description by Lohr. [13] Choose a number M = max( x 1, ..., x N) where N is the population size. Choose i at random from a uniform distribution on [1,N]. Choose k at random from a uniform distribution ...
In statistics, Cochran's theorem, devised by William G. Cochran, [1] is a theorem used to justify results relating to the probability distributions of statistics that are used in the analysis of variance.
Whether you are adding full-fat milk, chia seeds, a scoop of nut butter or a handful of berries to the blender along with your protein powder, their fat or fiber can reduce the rate of protein ...
Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample.The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.