Bootstrapping the Breusch-Godfrey autocorrelation test for a single equation dynamic model: Bootstrapping the Restricted vs. Unrestricted model

Two Sides Of The Same Coin: Bootstrapping The Restricted Vs. Unrestricted Model

An Integrated DEA and Data Mining Approach for Performance Assessment

This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes the productivity of eighteen decision-making units (DMUs). Using a Malmquist index, DEA deter...

Positive-Shrinkage and Pretest Estimation in Multiple Regression: A Monte Carlo Study with Applications

Consider a problem of predicting a response variable using a set of covariates in a linear regression model. If it is a priori known or suspected that a subset of the covariates do not significantly contribute to the overall fit of the model, a restricted model that excludes these covariates, may be sufficient. If, on the other hand, the subset provides useful information, shrinkage meth...

Bootstrapping Macroeconometric Models by Ray C. Fair Cowles Foundation Paper No. 1195 Cowles Foundation for Research in Economics

This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric models. It integrates for dynamic, nonlinear, simultaneous equation models the bootstrapping approach to evaluating estimators initiated by Efron (1979) and the stochastic simulation approach to evaluating models’ properties initiated by Adelman and Adelman (1959). It also estimates for a particular ...

Bootstrapping Lexicalized Models in Memory-Based Dependency Parsing

Previous research has shown that a lexicalized parsing model incorporating words but no parts-of-speech can outperform a model involving partsof-speech but no words given enough training data for supervised learning. We show that the same effect can be achieved with a bootstrapping approach, where a mixed model trained on a small treebank is used to parse a larger corpus which is used as traini...