116 citations · 208 across the 10 of their papers we have counts for
11 papers
Goodness-of-Fit Testing for Point Processes in Large Populations
Sami Umut Can, Estate V. Khmaladze, Roger J. A. Laeven
Suppose we have an observed path from a point process counting event occurrences in a large population. Based on the observed path, we would like to test the null hypothesis that t…
On the statistical analysis of grouped data: when Pearson and other divisible statistics are not goodness-of-fit tests
Sara Algeri, Estate V. Khmaladze
Thousands of experiments are analyzed, and papers are published each year involving the statistical analysis of grouped data. While this area of statistics is often perceived -- so…
Distribution free testing for linear regression. Extension to general parametric regression
Estate V. Khmaladze
Recently a distribution free approach for testing parametric hypotheses based on unitary transformations has been suggested in \cite{Khm13, Khm16, Khm17} and further studied in \ci…
Asymptotic hypothesis testing for the colour blind problem
Laura Dumitrescu, Estate V. Khmaladze
In the classical two-sample problem, the conventional approach for testing distributions equality is based on the difference between the two marginal empirical distribution functio…
Unitary transformations, empirical processes and distribution free testing
Estate Khmaladze
The main message in this paper is that there are surprisingly many different Brownian bridges, some of them - familiar, some of them - less familiar. Many of these Brownian bridges…
Asymptotically distribution-free goodness-of-fit testing for tail copulas
Sami Umut Can, John H. J. Einmahl, Estate V. Khmaladze +1
Let be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution. The asymptot…