Pages that link to "Item:Q1314473"

The following pages link to Chi-square goodness-of-fit tests for randomly censored data (Q1314473):

Displaying 19 items.

• An empirical study of a test for polynomial relationships in randomly right censored regression models (Q1020769) (← links)
• Chi-square goodness-of-fit test for randomly censored data (Q1096280) (← links)
• Model checks under random censorship (Q1359796) (← links)
• Nonparametric likelihood ratio goodness-of-fit tests for survival data (Q1400149) (← links)
• Maximum likelihood and Bayes estimation in randomly censored geometric distribution (Q1658068) (← links)
• Classical and Bayesian inference in two parameter exponential distribution with randomly censored data (Q1695518) (← links)
• Smooth goodness-of-fit tests for composite hypothesis in hazard based models (Q1807144) (← links)
• Chi-squared goodness-of-fit theory under proportional censorship (Q1866254) (← links)
• A simulation-based goodness-of-fit test for survival data (Q1977640) (← links)
• Nonparametric survival analysis (Q2503954) (← links)
• A generalization of the Pearson's \(\chi^2\) goodness-of fit test with estimated cell frequencies (Q2767490) (← links)
• Data Dependent Cells Chi‐Square Test With Recurrent Events (Q3460662) (← links)
• A Bayesian Chi-Squared Goodness-of-Fit Test for Censored Data Models (Q3576918) (← links)
• Relative Efficiencies of a Class of Goodness of Fit Tests for Randomly Censored Data (Q3757183) (← links)
• A Chi-Squared Goodness-of-Fit Test for Randomly Censored Data (Q4031153) (← links)
• Weak convergence of the generalized parametric empirical processes and goodness-of-fit tests for parametric models (Q4269969) (← links)
• <i>Letter to the editor/lettre à la rédaction</i>biased sampling with right censoring: A note on sun, Cui &amp; Tiwari (2002) (Q4470648) (← links)
• Goodness-of-fit tests for parametric models based on biased samples (Q4801848) (← links)
• An Empirical Analysis of Some Nonparametric Goodness-of-Fit Tests for Censored Data (Q5259153) (← links)