Add to ORKGWe consider likelihood-based inference in some continuous exponential families with unknown threshold parameters. The introduction of threshold parameters necessitates modification of the standard asymptotic arguments and some possibly unexpected limiting distributions result
summary:The paper gives some basic ideas of both the construction and investigation of the propertie...
International audienceWe consider parametric exponential families of dimension K on the real line. W...
When considering sampling models described by a distribution from an exponential family, it is possi...
We consider likelihood-based inference in some continuous exponen-tial families with unknown thresho...
Maximum likelihood estimation is a standard approach when confronted with the task of finding estima...
This is not a copy of the original, which is in the University of Washington library because the or...
AbstractLet X1,…, Xp be p (≥ 3) independent random variables, where each Xi has a distribution belon...
A useful subfamily of the exponential family is considered. The ML estimation based on upper record ...
summary:The problem of testing hypothesis under which the observations are independent, identically ...
The bivariate exponential distribution is neither absolutely continuous nor discrete due to the prop...
AbstractConsistent, asymptotically efficient and asymptotically normal stepwise estimators are given...
In this study, we are interested in investigating the performance of likelihood inference procedures...
Often in survival analysis, response that is measured over time is not a continuous measure but is t...
This book presents new findings on nonregular statistical estimation. Unlike other books on this top...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
summary:The paper gives some basic ideas of both the construction and investigation of the propertie...
International audienceWe consider parametric exponential families of dimension K on the real line. W...
When considering sampling models described by a distribution from an exponential family, it is possi...
We consider likelihood-based inference in some continuous exponen-tial families with unknown thresho...
Maximum likelihood estimation is a standard approach when confronted with the task of finding estima...
This is not a copy of the original, which is in the University of Washington library because the or...
AbstractLet X1,…, Xp be p (≥ 3) independent random variables, where each Xi has a distribution belon...
A useful subfamily of the exponential family is considered. The ML estimation based on upper record ...
summary:The problem of testing hypothesis under which the observations are independent, identically ...
The bivariate exponential distribution is neither absolutely continuous nor discrete due to the prop...
AbstractConsistent, asymptotically efficient and asymptotically normal stepwise estimators are given...
In this study, we are interested in investigating the performance of likelihood inference procedures...
Often in survival analysis, response that is measured over time is not a continuous measure but is t...
This book presents new findings on nonregular statistical estimation. Unlike other books on this top...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
summary:The paper gives some basic ideas of both the construction and investigation of the propertie...
International audienceWe consider parametric exponential families of dimension K on the real line. W...
When considering sampling models described by a distribution from an exponential family, it is possi...