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- W2034286358 abstract "Abstract The purpose of this article is to give a survey 1 of certain methods available for finding confidence limits when nothing is assumed about the population from which a sample has been drawn except possibly that it has a continuous distribution. The following three cases are treated: a confidence band for the unknown cumulative distribution function, a confidence interval for the proportion of a population for which the variate is smaller (or larger) than a given value, and confidence intervals for quantiles. The results have been known for many years, but have often been accessible only to those who were able to follow rather involved mathematical arguments. It is the purpose of this paper to state certain important results without referring to any mathematical proofs. 1I should like to thank Professor Wolfowits for pointing out the need for such a survey." @default.
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- W2034286358 date "1949-03-01" @default.
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- W2034286358 title "Confidence Limits in the Non-Parametric Case" @default.
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- W2034286358 doi "https://doi.org/10.1080/01621459.1949.10483293" @default.
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