bootstrap

(redirected from bootstrapping)
Also found in: Dictionary, Thesaurus, Financial, Idioms, Encyclopedia, Wikipedia.

bootstrap

a method for estimating parameters by repeatedly drawing random samples, with replacement, from the collected observations.
References in periodicals archive ?
Bootstrapping has also given Wilcox the ability to grow at a sustainable rate.
Dogan (2007) proposed the bootstrapping method for confidence interval estimation and hypothesis testing in system dynamics models and provided an overview of the issues related to the proper application of bootstrapping in dynamic models.
Bootstrapping is a computationally intensive statistical method that simulates the sampling process a specified (large) number of times on an existing data set to obtain an empirical ("bootstrap") distribution for a desired population parameter.
Factors one and two fit Winborg and Landstrom's description of internal bootstrapping, while factors four and five are primarily internally-oriented with some social element.
In other words, dialectical bootstrapping enables different opinions to be created and combined in the same mind.
For example, the quest for more reserve information through the application of stochastic models, such as bootstrapping, can help the corporate decision maker frame and address important risk management questions that are influenced by loss distribution information: What are the benefits and costs of strengthening reserves?
Section 3 discusses the econometric and bootstrapping approaches used to evaluate our hedonic price model.
Zeger, 1991, Bootstrapping Generalized Linear Models, Computational Statistics and Data Analysis, 11: 53-63.
Bootstrapping transimpedance amplifiers were designed and implemented to increase the equivalent impedance of PV HgCdTe detectors.
Along with evaluating your ability to pay back a loan, lenders look at your potential to run up more debt," says Kimberly Stansell, publisher of the Los Angeles-based newsletter Bootstrapping Entrepreneur.
The estimated model, after making appropriate tests for hetroscedasticity, has been put to recursive bootstrapping to generate probability distributions of average and peak demand in order to assess the extent of uncertainty in point projections.