Browsing Academic by Subject "Bootstrap"
Now showing items 1-6 of 6
-
A new quadratic asymmetric error correction model: does size matter?
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)We introduce a new quadratic asymmetric error correction model that comprehensively accounts for both sign and size asymmetries. We also propose a test protocol that allows to rigorously identify different sources of ... -
Bootstrap confidence intervals for adaptive cluster sampling design based on Horvitz-Thompson type estimators
( Kluwer Academic Publishers , 2014 , Article)Perez and Pontius (J Stat Comput Simul 76:755-764, 2006) introduced several bootstrap methods under adaptive cluster sampling using a Horvitz-Thompson type estimator. Using a simulation study, they showed that their proposed ... -
Confidence intervals for the two-parameter exponential reliability with type II censored data
( Taylor and Francis Ltd. , 2016 , Article)We consider interval estimation of the reliability of the two-parameter exponential distribution.We consider asymptotic intervals, Bayesian, as well as intervals based on the generalized pivot variable. Transformations to ... -
Large sample and bootstrap intervals for the gamma scale parameter based on grouped data
( Wayne State University , 2006 , Article)Interval estimation of the scale parameter of the gamma distribution using grouped data is considered in this article. Exact intervals do not exist and approximate intervals are needed Recently, Chen and Mi (2001) proposed ... -
Oblique and rotation double random forest
( Elsevier Ltd , 2022 , Article)Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ... -
A simple method for finding empirical likelihood type intervals for the ROC curve
( Wayne State University , 2007 , Article)Interval estimation of the ROC curve is considered using the empirical likelihood techniques. Suggested is a procedure that is very simple computationally and avoids the constrained optimization problems usually faced with ...