Goodness of Fit Test Based on BLUS Residuals for Error Distribution of Regression Model

Goodness-of-fit test for the AFT model based on martingale residuals

The Accelerated Failure Time model presents a way to easily describe survival regression data. It is assumed, that each observed unit ages internally faster or slower, depending on the covariate values. To use the model properly, we want to check if observed data fit the model assumptions. In present work we introduce a goodness-of-fit statistics based on modern martingale theory. On simulated ...

Goodness-of-fit test for the Accelerated Failure Time model based on martingale residuals

The Accelerated Failure Time model presents a way to easily describe survival regression data. It is assumed that each observed unit ages internally faster or slower, depending on the covariate values. To use the model properly, we want to check if observed data fit the model assumptions. In present work we introduce a goodness-of-fit testing procedure based on modern martingale theory. On simu...

A Goodness of Fit Test For Exponentiality Based on Lin-Wong Information

In this paper, we introduce a goodness of fit test for expo- nentiality based on Lin-Wong divergence measure. In order to estimate the divergence, we use a method similar to Vasicek’s method for estimat- ing the Shannon entropy. The critical values and the powers of the test are computed by Monte Carlo simulation. It is shown that the proposed test are competitive with other tests of exponentia...

Regression Goodness-Of-Fit Test for Software Reliability Model Validation

Nonparametric Goodness of Fit Test for Regression Using Local Residuals by Neighbor Join Methods

Since Sir Francis Galton presented his rudimentary idea of regression line in 1877, regression analysis has become a center of statistical analysis in both observational studies and experimental studies. With the advance of computational environment, more generalized and sophisticated models than simple linear regression, such as multivariate, polynomial, exponential, logistic, time-series, sem...