This paper presents strategies for the estimation and testing of binomial and multinomial parameters as well as odds ratios under order restrictions. Estimates of binomial and multinomial parameters under certain order restrictions are obtained and subsequently used in the estimation of the odds ratios. Also, estimates that make use of the marginal frequencies are obtained and studied. The estimated bias and mean square error of the estimates are given. Test procedures are developed based on these estimates and their distributions given. Appropriate comparisons of the estimates as well as the developed test procedures are given for sparse to moderate samples. Furthermore, the results presented are extended to cover alternative reparametriza...
The proportional odds model provides a powerful tool for analysing ordered categorical data and sett...
The traditional likelihood ratio test statistic for testing hypothesis about goodness of fit of mult...
AbstractThe most common mode of inference for order restricted models is likelihood inference. See T...
This paper presents strategies for the estimation and testing of risk difference and odds ratio unde...
We propose a new type of stochastic ordering which imposes a monotone tendency in differences betwee...
In this paper we face the problem of testing the equality of two or more parameters of amultinomial ...
Strategies for the analysis of discrete data under order restrictions are discussed. We consider inf...
Strategies for the analysis of discrete data under order restrictions are discussed. We consider inf...
Strategies for the analysis of discrete data under order restrictions are discussed. We consider inf...
Title: Confidence intervals for parameters of multinomial distribution Author: Kamila Bárnetová Depa...
Title: Confidence intervals for parameters of multinomial distribution Author: Kamila Bárnetová Depa...
AbstractIn this paper estimation of the probabilities of a multinomial distribution has been studied...
The pool adjacent violator algorithm (Ayer et al., 1955) has long been known to give the maximum lik...
Monotonicity of the likelihood ratio for conditioned densities is a common technical assumption in e...
Monotonicity of the likelihood ratio for conditioned densities is a common technical assumption in e...
The proportional odds model provides a powerful tool for analysing ordered categorical data and sett...
The traditional likelihood ratio test statistic for testing hypothesis about goodness of fit of mult...
AbstractThe most common mode of inference for order restricted models is likelihood inference. See T...
This paper presents strategies for the estimation and testing of risk difference and odds ratio unde...
We propose a new type of stochastic ordering which imposes a monotone tendency in differences betwee...
In this paper we face the problem of testing the equality of two or more parameters of amultinomial ...
Strategies for the analysis of discrete data under order restrictions are discussed. We consider inf...
Strategies for the analysis of discrete data under order restrictions are discussed. We consider inf...
Strategies for the analysis of discrete data under order restrictions are discussed. We consider inf...
Title: Confidence intervals for parameters of multinomial distribution Author: Kamila Bárnetová Depa...
Title: Confidence intervals for parameters of multinomial distribution Author: Kamila Bárnetová Depa...
AbstractIn this paper estimation of the probabilities of a multinomial distribution has been studied...
The pool adjacent violator algorithm (Ayer et al., 1955) has long been known to give the maximum lik...
Monotonicity of the likelihood ratio for conditioned densities is a common technical assumption in e...
Monotonicity of the likelihood ratio for conditioned densities is a common technical assumption in e...
The proportional odds model provides a powerful tool for analysing ordered categorical data and sett...
The traditional likelihood ratio test statistic for testing hypothesis about goodness of fit of mult...
AbstractThe most common mode of inference for order restricted models is likelihood inference. See T...