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simulation
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Estimating Industry Multiples - people.hbs.edu
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... involves a small number of observations.There are only 10 firms on average, for example, across the 22 S&P industries that we use in our empirical analysis. . As a result, relying on large sample econometric techniques is inappropriate. Finding minimum variance estimates for the parameters in (8) th ...
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Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
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