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V. Susarla

University of Wisconsin-Madison

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Publication

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Journal of the American Statistical Association | 1980

Testing for New Better than Used in Expectation with Incomplete Data

Hira L. Koul; V. Susarla

Abstract This article proposes a test for the problem of testing that a life distribution is an exponential distribution against the alternative that it is new better than used in expectation, not exponential, on the basis of randomly right censored data. The test statistic is an analog of the “total time on test” test statistic.

Annals of Statistics | 1981

Regression Analysis with Randomly Right-Censored Data

Hira L. Koul; V. Susarla; J. Van Ryzin

Annals of Statistics | 1978

Large Sample Theory for a Bayesian Nonparametric Survival Curve Estimator Based on Censored Samples

V. Susarla; J. Van Ryzin

Annals of Statistics | 1978

Empirical Bayes Estimation of a Distribution (Survival) Function from Right Censored Observations

V. Susarla; J. Van Ryzin

Annals of Statistics | 1977

On the Empirical Bayes Approach to Multiple Decision Problems

J. Van Ryzin; V. Susarla

Annals of Statistics | 1986

Time Sequential Estimation of the Exponential Mean Under Random Withdrawals

Joseph C. Gardiner; V. Susarla; John Van Ryzin

Archive | 1982

Multistep estimation of regression coefficients in a linear model with censored survival data

Hira L. Koul; V. Susarla; John Van Ryzin

Archive | 1986

Estimation of the median survival time under random censorship

Joseph C. Gardiner; V. Susarla; John Van Ryzin

Archive | 1986

Empirical Bayes procedures with censored data

V. Susarla; John Van Ryzin

Archive | 1982

A limit theorem for testing with randomly censored data

Hira L. Koul; V. Susarla

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Collaboration

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John Van Ryzin

Columbia University

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Hira L. Koul

Michigan State University

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J. Van Ryzin

University of Wisconsin-Madison

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Joseph C. Gardiner

Michigan State University

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Kamta Rai

California State University

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