Add to ORKGStrategies for the analysis of discrete data under order restrictions are discussed. We consider inference for sequences of binomial populations, and the corresponding risk difference, relative risk and odds ratios. These concepts are extended to deal with independent multinomial populations. Natural orderings such as stochastic ordering and cumulative ratio probability ordering are discussed. Methods are developed for the estimation and testing of differences between binomial as well as multinomial populations under order restrictions. In particular, inference for sequences of ordered binomial probabilities and cumulative probability ratios in multinomial populations are presented. Closed-form estimates of the multinomial parameters under ...
The thesis deals with binomial and multinomial sequential selection problems. Optimal sequential sam...
In this paper we focus on providing sufficient conditions for some well-known stochastic orders in r...
The aim of statistical analysis and inference is to draw meaningful conclusions. In the case where t...
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...
This paper presents strategies for the estimation and testing of binomial and multinomial parameters...
AbstractTests for comparing a multivariate response on a control and on a treatment population are c...
This paper presents strategies for the estimation and testing of risk difference and odds ratio unde...
Open accessThere is a substantial literature on testing for the equality of the cumulative incidenc...
This book emphasizes the use of stochastic orders as motivational tools for developing new statistic...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
Starting from seminal neglected work by Rappeport (1968), we revisit and expand on the exact algorit...
We propose a new type of stochastic ordering which imposes a monotone tendency in differences betwee...
© 2017 Taylor & Francis Group, LLC. In this article, lower bounds for expected sample size of sequ...
The thesis deals with binomial and multinomial sequential selection problems. Optimal sequential sam...
In this paper we focus on providing sufficient conditions for some well-known stochastic orders in r...
The aim of statistical analysis and inference is to draw meaningful conclusions. In the case where t...
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...
This paper presents strategies for the estimation and testing of binomial and multinomial parameters...
AbstractTests for comparing a multivariate response on a control and on a treatment population are c...
This paper presents strategies for the estimation and testing of risk difference and odds ratio unde...
Open accessThere is a substantial literature on testing for the equality of the cumulative incidenc...
This book emphasizes the use of stochastic orders as motivational tools for developing new statistic...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
Starting from seminal neglected work by Rappeport (1968), we revisit and expand on the exact algorit...
We propose a new type of stochastic ordering which imposes a monotone tendency in differences betwee...
© 2017 Taylor & Francis Group, LLC. In this article, lower bounds for expected sample size of sequ...
The thesis deals with binomial and multinomial sequential selection problems. Optimal sequential sam...
In this paper we focus on providing sufficient conditions for some well-known stochastic orders in r...
The aim of statistical analysis and inference is to draw meaningful conclusions. In the case where t...