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- W154243934 abstract "The notion of estimability of a parameter in a model is meaningful only when the parameter is identifiable in the model. This chapter discusses identifiability in reliability and survival analysis. It describes parametric identifiability. The chapter presents an assumption in which the class of distribution functions under consideration are not indexed by a parameter. Then one has the problem of identifiability in a nonparametric framework. Problems of this type occur in reliability as well as survival analysis. The chapter describes identifiability in the problem of competing or complementary risks. It also discusses identifiability for families of bivariate normal distributions." @default.
- W154243934 created "2016-06-24" @default.
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- W154243934 date "1992-01-01" @default.
- W154243934 modified "2023-09-27" @default.
- W154243934 title "Identifiability in Reliability and Survival Analysis" @default.
- W154243934 doi "https://doi.org/10.1016/b978-0-12-564015-2.50012-1" @default.
- W154243934 hasPublicationYear "1992" @default.
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