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- W1917189968 abstract "Abstract We consider a recurrent event wherein the inter‐event times are independent and identically distributed with a common absolutely continuous distribution function F . In this article, interest is in the problem of testing the null hypothesis that F belongs to some parametric family where the q ‐dimensional parameter is unknown. We propose a general Chi‐squared test in which cell boundaries are data dependent. An estimator of the parameter obtained by minimizing a quadratic form resulting from a properly scaled vector of differences between Observed and Expected frequencies is used to construct the test. This estimator is known as the minimum chi‐square estimator . Large sample properties of the proposed test statistic are established using empirical processes tools. A simulation study is conducted to assess the performance of the test under parameter misspecification, and our procedures are applied to a fleet of Boeing 720 jet planes' air conditioning system failures." @default.
- W1917189968 created "2016-06-24" @default.
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- W1917189968 date "2015-04-24" @default.
- W1917189968 modified "2023-09-27" @default.
- W1917189968 title "Data Dependent Cells Chi‐Square Test With Recurrent Events" @default.
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- W1917189968 doi "https://doi.org/10.1111/sjos.12150" @default.
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