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- W2480883534 abstract "The main goal of this work it is to present a review of the existing methods to deal with the goodness-of-fit for right-censored data. Goodness-of-fit tests are developed to assess whether a given distribution is suited to a data set. Literature on goodness-of-fit tests for right-censored data is scarce and scattered. This master s degree thesis is divided into three different parts. The first part is devoted to review the bibliography of goodness-of-fit test for parametric models with right-censored data. We classify them according to the type of censoring and the methodology used, and we also propose a unified notation. The second part it focuses on the theoretic explanation of the Generalized Chi Squared test. Finally, the last part of the work presents an implementation in R of the Generalized Chi-Squared test for complete and right-censored data. We also have applied the above methods to some data sets and we have analyzed the results." @default.
- W2480883534 created "2016-08-23" @default.
- W2480883534 creator A5024287391 @default.
- W2480883534 date "2016-06-01" @default.
- W2480883534 modified "2023-09-23" @default.
- W2480883534 title "Testing Goodness-of-Fit of Parametric Survival Models for Right Censored Data" @default.
- W2480883534 hasPublicationYear "2016" @default.
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