4 papers
An exact unbiased semi-parametric L2 quasi-likelihood framework, complete in the presence of ties
Landon Hurley
Maximum likelihood style estimators possesses a number of ideal characteristics, but require prior identification of the distribution of errors to ensure exact unbiasedness. Indepe…
An exact unbiased semi-parametric maximum quasi-likelihood framework which is complete in the presence of ties
Landon Hurley
This paper introduces a novel quasi-likelihood extension of the generalised Kendall \(Ï_{a}\) estimator, together with an extension of the Kemeny metric and its associated covaria…
Completing and studentising Spearman's correlation in the presence of ties
Landon Hurley
Non-parametric correlation coefficients have been widely used for analysing arbitrary random variables upon common populations, when requiring an explicit error distribution to be…
Studentising Kendall's Tau: U-Statistic Estimators and Bias Correction for a Generalised Rank Variance-Covariance framework
Landon Hurley
Kemeny (1959) introduced a topologically complete metric space to study ordinal random variables, particularly in the context of Condorcet's paradox and the measurability of ties.…