Showing 1 - 10 of 19
There are three major points to this article: 1. Measurement error causes biases in regression fits. The line one would obtain if one could accurately measure exposure to environmental lead media will differ in important ways when one measures exposure with error. 2. The effects of measurement...
Persistent link: https://www.econbiz.de/10009631751
The Lomax (Pareto II) distribution has found wide application in a variety of fields. We analyze the second-order bias … of the maximum likelihood estimators of its parameters for finite sample sizes, and show that this bias is positive. We … derive an analytic bias correction which reduces the percentage bias of these estimators by one or two orders of magnitude …
Persistent link: https://www.econbiz.de/10008923128
in small samples. We show that the methodology suggested by Cox and Snell (1968) can be used very easily to bias …-adjust these estimators. A simulation study shows that this analytic correction is frequently much more effective than bias …-adjusting using the bootstrap – generally by an order of magnitude in percentage terms. The two bias-correction methods considered …
Persistent link: https://www.econbiz.de/10008581254
Persistent link: https://www.econbiz.de/10001919034
For the problems of nonparametric estimation of nonincreasing and symmetric unimodal density functions with bounded supports we determine the projections of estimates onto the convex families of possible parent densities with respect to the weighted integrated squared error. We also describe the...
Persistent link: https://www.econbiz.de/10009579180
Persistent link: https://www.econbiz.de/10009581095
Motivated by an example in nutritional epidemiology, we investigate some design and analysis aspects of linear measurement error models with missing surrogate data. The specific problem investigated consists of an initial large sample in which the response (a food frequency questionnaire, FFQ)...
Persistent link: https://www.econbiz.de/10009631748
different methods of estimations are used. The first method is the SIMEX algorithm which attempts to estimate the bias, and … kernel regression context, we derive the limit distribution of the SIMEX estimate. With the regression spline technique, two … ; Measurement Error ; Local Polynomial Regression ; SIMEX ; Asymptotic theory ; Estimating Equations ; Nonlinear Regression …
Persistent link: https://www.econbiz.de/10009631749
In this paper we consider the polynomial regression model in the presence of multiplicative measurement error in the predictor. Consistent parameter estimates and their associated standard errors are derived. Two general methods are considered, with the methods differing in their assumptions...
Persistent link: https://www.econbiz.de/10009631750
-in-Variables ; Nonlinear Models ; Power Transformations ; Regression Calibration ; SIMEX ; Spline Transformations ; Transform-Both-Sides …
Persistent link: https://www.econbiz.de/10009631755