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We measure the extent of language assimilation among children of Hispanic immigrants. Our identification strategy exploits test language randomization (English or Spanish) of Woodcock Johnson achievem...
Residuals in regression models are often spatially correlated.Prominent examples include studies in environmental epidemiology to understand the chronic health effects of pollutants.
Scargle (2000) has discussed Rosenthal&Rubin's (1978) "fail-safe number" (FSN) method for estimating the number of unpublished studies in meta-analysis. He concluded that this FSN cannot possibly be...
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...
Using data from a large U.S. retail firm, we examine how racial matches between managers and their employees affect rates of employee quits, dismissals, and promotions. We exploit changes in managemen...
Sport sciences researchers talk about a relative age effect when they observe a biased distribution of elite athletes’ birthdates, with an over-representation of those born at the beginning of the c...
In designed experiments and surveys, known laws or de- sign feat ures provide checks on the most relevant aspects of a model and identify the target parameters. In contrast, in most observational s...
A close relationship is derived between optimal Mestimation and optimal robust testing for shrinking contaminations. Explicit formulas are given for solutions when the loss is defined as convex com...
The papex deals with the concept of robustness given by Zielidski (see [17J and [18]). The uniformly most bias-robust estimates of the scale parameter, based on order statistics and spacings, for s...
For many classication and regression problems, a large number of features are available for possible use this is typical of DNA microarray data on gene expression, for example. Often, for computatio...
We present sharp bounds for an approximation of f r a ~ tiond kth record values by convex combinations of ordinary kth record values. The bounds are expressed in different scale units measured in p...
Bias Corrected Maximum Likelihood Estimators in Nonlinear Overdispersed Models。
It is shown that the exact solution for the capability index (CPI) for Gaussian-distributed process with target bias can be expressed in terms of an unbiased CPI and a normalized target bias. The prin...
The aim of this study was to investigate the bias and fairness of the Culture Assessment Instrument (CAI), that is, to assess whether the mean culture scores of different groups (race, gender, age and...
We give analytic methods for nonparametric bias reduction that remove the need for computationally intensive methods like the bootstrap and the jackknife. We call an estimate pth order if its bias h...

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