Notes on Statistical Tests for Nonidentically Distributed Observations

Authors

  • Andrew M. Zubkov Steklov Mathematical Institute of RAS, Moscow, Russia

DOI:

https://doi.org/10.17713/ajs.v34i2.414

Abstract

We discuss a problem of testing simple statistical hypotheses on the nonidentically distributed observations. A possibility of using the method Monte-Carlo for choosing the critical value in Neyman – Pearson test is pointed out. We propose also an approach permitting to reduce the problem considered to a problem of testing hypotheses on uniformity vs nonuniformity of distributions on the interval (0,1).

References

E.L. Lehmann. Testing Statistical Hypotheses. Springer-Verlag, New York e.a., 2nd edition, 1986.

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Published

2016-04-03

How to Cite

Zubkov, A. M. (2016). Notes on Statistical Tests for Nonidentically Distributed Observations. Austrian Journal of Statistics, 34(2), 225–232. https://doi.org/10.17713/ajs.v34i2.414

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Section

Articles