Abstract
Finding a single set of estimates for the parameters in a statistical model is not enough. An assessment of the uncertainty in these estimates is also needed. Standard errors and confidence intervals are common methods for expressing uncertainty. In the past, it was sometimes difficult, if not impossible, to assess uncertainty, especially for complex models. Fortunately, the speed of modern computers, and the innovations in statistical methodology inspired by this speed, have largely overcome this problem.
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© 2011 Springer Science+Business Media, LLC
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Ruppert, D. (2011). Resampling. In: Statistics and Data Analysis for Financial Engineering. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7787-8_6
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DOI: https://doi.org/10.1007/978-1-4419-7787-8_6
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-7786-1
Online ISBN: 978-1-4419-7787-8
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