Bootstrap Methods and Their applications. Cambridge, UK: Cambridge University Press, 1997.Davison, A. C., D. V. Hinkley (2003). Bootstrap Methods and their Application, Cambridge University Press.Davison, A.C.,
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Methods $().tab Activates a tab element and content container. Tab should have either a data-target or an href targeting a container node in the DOM. In the above examples, the tabs are the s with data-toggle="tab" attributes. .tab('show') Selects the given tab and shows its asso...
Bootstrap usesGruntfor its build system, with convenient methods for working with the framework. It's how we compile our code, run tests, and more. Installing Grunt To install Grunt, you mustfirstdownload and install node.js(which includes npm). npm stands fornode packaged modulesand is a ...
Resampling Methods of Estimation In this article, a brief description of the bootstrap method for data analysis given. The use of the bootstrap for estimating standard errors and confidence intervals is reviewed and illustrated with an application to growth curves for educational testing data View ch...
Hinkley. Bootstrap Methods and Their Applications. Cambridge University Press, 1997. [2] Efron, Bradley. The Jackknife, the Bootstrap and Other Resampling Plans. Philadelphia: The Society for Industrial and Applied Mathematics, 1982. [3] DiCiccio, Thomas J., and Bradley Efron. “Bootstrap ...
A.C. Davison et al. Bootstrap Methods and their Application. (1997) There are more references available in the full text version of this article. Cited by (40) Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results 2016, European Management Journal ...
Brooks, S.P., Gelman, A.: General Methods for Monitoring Convergence of Iterative Simulations. J. of Computational and Graphical Statistics 7(4), 434–455 (1998) Google Scholar Davidson, A.C., Hinkley, D.V.: Bootstrap Methods and Their Application. Cambridge University Press, Cambridge (200...
These methods have the advantage to deal with fault problems in fermenta- tion processes with nonlinear characteristics [20–22]. However, these methods are slow in fault detection in response to fault appearance and have random criteria for fault determination, which prevent their applications in ...