bootstrapping


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bootstrapping

[′büt‚strap·iŋ]
(electronics)
A technique for lifting a generator circuit above ground by a voltage value derived from its own output signal.
References in periodicals archive ?
According to Schofield (2015), financial bootstrapping allows small business owners to create new financial resources or stretch existing resources without using debt, a venture capitalist, or other external means to attain required capital.
Of the 14 directional hypotheses listed by Yuh and Hanna (2010), conclusions regarding the hypothesis tests obtained from the unweighted model and from the population weighted model with bootstrapping were identical.
When the residuals are not normally distributed, bootstrapping has been presented (Carpenter, Goldstein, & Rasbash, 2003; Goldstein, 2011; Wang, Carpenter, & Kepler, 2006; Wang, Shi, & Fisher, 2011) as a potential strategy for dealing with the bias in the variance estimates and standard errors that results from using ML or REML estimation.
Bootstrapping is also different from estoppel in that estoppel may rely on Ys undertaken by others, but in bootstrapping the same actor undertakes Y and Z.
Note that bootstrapping automatically takes into account any difference in the standard deviations in the two groups, which you would normally deal with using the unequal-variances t statistic.
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.
Dialectical bootstrapping is a method by which an individual mind averages its' own conflicting opinions, thus simulating the 'wisdom of the crowd.
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?
Bootstrapping analyses showed poor resolution (<380/1,000 iterations) below the genus level for the short rrs region examined.
A phylogeny was constructed using PAUP with bootstrapping to show support for clades.