The random regression coefficient approach in analysis of early growth of Alpine and Saanen kids
Sign Up to like & getrecommendations! Published in 2017 at "Small Ruminant Research"
DOI: 10.1016/j.smallrumres.2017.03.001
Abstract: Abstract Factors affecting growth of young animals were examined in numerous studies relying on various experimental designs and statistical analyses of collected data. In order to provide truthful inferences of examined effect, statistical analysis of… read more here.
Keywords: coefficient approach; analysis; regression coefficient; growth ... See more keywords
A sufficient condition for the MSE dominance of the positive-part shrinkage estimator when each individual regression coefficient is estimated in a misspecified linear regression model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2018.1448982
Abstract: ABSTRACT In this paper, assuming that there exist omitted explanatory variables in the specified model, we derive the exact formula for the mean squared error (MSE) of a general family of shrinkage estimators for each… read more here.
Keywords: mse; regression; shrinkage estimators; regression coefficient ... See more keywords
Sensitivity and depth of investigation from Monte Carlo ensemble statistics
Sign Up to like & getrecommendations! Published in 2021 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.13068
Abstract: For many geophysical measurements, such as direct current or electromagnetic induction methods, information fades away with depth. This has to be taken into account when interpreting models estimated from such measurements. For that reason, a… read more here.
Keywords: simplified regression; monte carlo; sensitivity; regression coefficient ... See more keywords