Article1959

Censored Observations in Randomized Block Experiments

48 citations0/0 files storedJournal of the Royal Statistical Society Series B (Statistical Methodology)

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Optimal Experimental Design Methods Statistical Distribution Estimation and Applications Statistical Methods and Bayesian Inference

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SUMMARY Maximum likelihood methods are developed for the analysis of data from randomized block experiments, when some of the observations are censored. A modification of the maximum likelihood process, intended to produce approximately unbiased estimates of variance, is described, and the results of some numerical investigations into its efficacy are reported. Analogues of the t-test, using two alternative formulae for standard errors of differences, are considered, with some results of numerical investigations into the distribution of the t-values.

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1973Testing Group Effects from Type II Censored Normal Samples in Experimental Design 1963Procedures and Designs Useful for Screening Material in Selection and Allocation, with a Bibliography 1973The Analysis of Designed Experiments with Censored Observations 1979Controlled Experimental Design for Statistical Comparison of Integer Programming Algorithms

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