A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Saddlepoint Test in Measurement Error Models
Journal of the American Statistical Association
We develop second order hypothesis testing procedures in functional measurement error models for small or moderate sample sizes, where the classical first order asymptotic analysis often fails to provide accurate results. In functional models no distributional assumptions are made on the unobservable covariates and this leads to semiparametric models. Our testing procedure is derived using saddlepoint techniques and is based on an empirical distribution estimation subject to the null hypothesisdoi:10.1198/jasa.2011.tm10031 fatcat:55fa6km4fzfdfm26vrloz6eqye