Add to ORKGA smooth testing approach has been used to develop a test of the distributional assumption for generalized linear models. Application of this test to help assess Poisson and logistic regression models is discussed in this paper and power is compared to some common tests
[[abstract]]A nonparametric local linear smoothing technique for testing goodness-of-fit of ordinal ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.One of the drawbacks of the o...
Goodness-of-fit is a very important concept in data analysis, as most statistical models make some u...
The smooth testing approach described in [2] has been used to develop a test of the distributional a...
A smooth test of the Poisson assumption in the Poisson regression generalised linear model is derive...
Research Doctorate - Doctor of Philosophy (PhD)Statistical models are an essential part of data anal...
The possible discrepancy between a hypothesized model and the observed data is measured by so called...
In this article we construct three smooth goodness-of-fit tests for testing for the zero-inflated Po...
We consider the little - known one parameter Lindley and Lindley - Poisson distributions. These dist...
[[abstract]]This paper is emphasized on the logistic regression model fit with continuous and catego...
We describe procedures for Bayesian estimation and testing in cross-sectional, panel data and nonlin...
The analysis of residuals can capture departures from a parametrized model. In this thesis we look a...
[[abstract]]Logistic-normal models can be applied for analysis of longitudinal binary data. The aim ...
The possible discrepancy between a hypothesized model and the observed data is measured by so called...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
[[abstract]]A nonparametric local linear smoothing technique for testing goodness-of-fit of ordinal ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.One of the drawbacks of the o...
Goodness-of-fit is a very important concept in data analysis, as most statistical models make some u...
The smooth testing approach described in [2] has been used to develop a test of the distributional a...
A smooth test of the Poisson assumption in the Poisson regression generalised linear model is derive...
Research Doctorate - Doctor of Philosophy (PhD)Statistical models are an essential part of data anal...
The possible discrepancy between a hypothesized model and the observed data is measured by so called...
In this article we construct three smooth goodness-of-fit tests for testing for the zero-inflated Po...
We consider the little - known one parameter Lindley and Lindley - Poisson distributions. These dist...
[[abstract]]This paper is emphasized on the logistic regression model fit with continuous and catego...
We describe procedures for Bayesian estimation and testing in cross-sectional, panel data and nonlin...
The analysis of residuals can capture departures from a parametrized model. In this thesis we look a...
[[abstract]]Logistic-normal models can be applied for analysis of longitudinal binary data. The aim ...
The possible discrepancy between a hypothesized model and the observed data is measured by so called...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
[[abstract]]A nonparametric local linear smoothing technique for testing goodness-of-fit of ordinal ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.One of the drawbacks of the o...
Goodness-of-fit is a very important concept in data analysis, as most statistical models make some u...