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We provide a new measure of historical U.S. GDP growth, obtained by applying optimal signal-extraction techniques to the noisy expenditure-side and income-side GDPestimates. The quarter-by-quarter val...
Studies have suggested that oxidative stress might be implicated in the risk of human infertility. For this reason, the BioCycle study, a longitudinal study to assess the effects of endogenous hormone...
In ecological population management, years of animal counts are fit to nonlinear, dynamic models (e.g. the Ricker model) because the values of the parameters are of interest. The yearly counts are sub...
Regulatory Agencies are responsible for monitoring the performance of particular measurement communities. In order to achieve their objectives, they sponsor Intercomparison exercises between the membe...
This paper introduces variance estimators of Y in measurement error model X=Y+E with known Var(E). An unbiased estimator and an adjust non-negative estimator of Var(Y) are given. Meanwhile, some prope...
We examine the effect of survey measurement error on the empirical relationship between child mental health and personal and family characteristics, and between child mental health and educational pro...
Consider an autoregressive model with measurement error: we observe Zi = Xi+εi, where Xi is a stationary solution of the equation Xi = f0(Xi−1)+ξi. The regression function f0 is known up to ...
Inference for the effect of treatment on an outcome often suffers from the unavailability of valid measurements of treatment. Due to this, systematic errors in measurements of treatment occur frequent...
This paper considers convolution equations that arise from problems such as deconvolution and non-parametric regression with errors in variables. The equations are examined in spaces of generalized fu...
This article is a response to an off-the-record discussion that I had at an international meeting of epidemiologists. It centered on a concern, perhaps widely spread, that measurement error adjustmen...
Measurement error data or errors-in-variable data have been collected in many studies. Natural criterion functions are often unavailable for general functional measurement error models due to the la...
If the mean of a criterion variable differs across groups, measurement error in the grouping variable leads to bias in the estimated size of the effect. Similar to the classical errors-in-variables mo...
The present article reanalyzed data collected by Toomela (2003). The data contain personality self ratings and cognitive ability test results from n = 912 men with military background. In his original...
In this paper, we introduce a Bayesian extended regression model with two-stage priors when the covariate is positive and measured with error. Connections are made with some results in Arellano-Vall...

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