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Erschienen in:
Prior Processes Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

3. Inference Based on Incomplete Data

verfasst von : Eswar G. Phadia

Erschienen in: Prior Processes and Their Applications

Verlag: Springer Berlin Heidelberg

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Abstract

In Chap. 2, the applications were based on samples with complete data. In contrast, this chapter is devoted to presenting inferential procedures based on (mostly right) censored data. Heavy emphasis is given to the estimation of survival function since it plays an important role in the survival data analysis. Estimation procedures based on different priors and under various sampling schemes are discussed. Estimation of hazard rates and cumulative hazard functions is also included. This is followed by other examples which include estimation procedures in certain stochastic process models, Markov Chains, and competing risks models. Finally, estimation of the survival function in presence of covariates is presented.

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Vorheriges Kapitel Inference Based on Complete Data
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Metadaten
Titel
Inference Based on Incomplete Data
verfasst von
Eswar G. Phadia
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Prior Processes and Their Applications

Print ISBN: 978-3-642-39279-5

Electronic ISBN: 978-3-642-39280-1

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-39280-1_3