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View all- (2017)Research patterns and trends in software effort estimationInformation and Software Technology10.1016/j.infsof.2017.06.00291:C(1-21)Online publication date: 1-Nov-2017
This article provides an introduction to the bootstrap. The bootstrap provides statistical inferences-standard error and bias estimates, confidence intervals, and hypothesis tests-without assumptions such as Normal distributions or equal variances. As ...
Sample statistics and model parameters can be used to infer the properties, or characteristics, of the underlying population in typical data-analytic situations. Confidence intervals can provide an estimate of the range within which the true value of ...
The bootstrapping is a sophisticate statistical technique to duplicate the data itself by resampling the underlying population data, and enables us to investigate the statistical properties. It is useful to estimate standard errors and confidence ...
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United States
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