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Article
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Bulletin of Mathematical Statistics
Article . 1959 . Peer-reviewed
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On a Non-parametric Test in Life Test

On a non-parametric test in life test
Authors: Ishii, Goro;

On a Non-parametric Test in Life Test

Abstract

[2], [3], G. Ishii [5] . In a previous paper, we had treated the test of fit in life test in the case that we stop when the s-th death has occurred, G. Ishii [4] . In the present paper we treat the case when we stop the life test at a certain preassigned time T. Let X be a random variable having the continuous distribution function. In order to test the hypothesis Ho that the distribution function is a known function F(x), F. N. David [1] and M. Okamoto [6] have proposed the following non-parametric test : Let xi (i =1, 2, , M) be M independent observation of a random variable X. There are real numbers i =1, 2, ••• , m— 1 such that F(a,) —F(at _i) —1/m, i = 1, 2, --, m where ao= — co, am= + (ai_i, ai] will be called " part." Let v be the number of parts which contain no x's. If v is too large, we reject Ho. Now we shall apply the above non-parametric test to life test.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze