Modern likelihood inference for the param- eter of skewness: An application to mono- zygotic twin studies
Year: 2013
Type: report
Abstract: We consider the use of modern likelihood asymptotics in the construction of confidence intervals for the parameter which determines the skewness of the distribution of the maximum/minimumof an exchangeable bivariate normal randomvector. This distribution represents the reference model for assessing the degree of concordance of a continuos mono-zygotic twin trait when interest focuses on the pairwise maximum or minimum. Simulation studies were conducted to investigate the accuracy of the proposed method and to compare it to available alternatives. Accuracy is evaluated in terms of both coverage probability and expected length of the interval. We, furthermore, illustrate the suitability of our method by re-analyzing the data from a study which compares different measurements taken on the brains of mono-zygotic twins. \n
Authors: Valentina Mameli, R Brazzale Alessandra
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2275659128