Link functions for parameters of sequential order
statistics and curved exponential families
Grigoriy Volovskiy
Stefan Bedbur
Udo Kamps
Abstract:
Estimation of model parameters of sequential order statistics under linear and nonlinear link function
assumptions is considered. Utilizing the arising curved exponential family structure, conditions
for existence and uniqueness as well as the validity of asymptotic properties of maximum likelihood
estimators are stated. Minimal sufficiency and completeness of the associated canonical statistics are discussed.
2010 AMS Mathematics Subject Classification: Primary 62F10; Secondary 62N05, 62N02.
Keywords and phrases: sequential order statistic, maximum likelihood estimation,
curved exponential family, link function.