Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models

By V. Bagdonavičius, R. Levulienė, M. Nikulin. 2013

52 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/aa7f1cf2d206554d7230a952ee687ee244135edf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Haitham M. Yousof
2. M. Masoom Ali
3. Hafida Goual
4. G. Hamedani
5. Ahmed Z. Afify

Citations in the corpus

• Validation of the Odd Lindley Exponentiated Exponential by a ModiÖed Goodness of Fit Test with Applications to Censored and Complete Data (2019, methodology): “g(θ,λ)(x) = θλ ( 1− e−λx )θ−1 e−λx [ (x≥0) (λ>0, θ>0) ] (1)”
• Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation (2020, background): “[3]; to confirm the adequacy of LxIW model when the parameters are unknown and data are censored.”