Bootstrap

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Bootstrap

Term used to describe the start-up of a company with very little capital.

Bootstrap

1. To start a company with personal finances rather than through loans or venture capital. This is obviously a large risk to the entrepreneur as he/she has no recourse should the business fail. On the other hand, it allows the entrepreneur to maintain control of the business and has the potential to be very successful. It is famously said that Ross Perot established Electronic Data Systems with $1,000 in personal savings; he maintained complete control of the company until its IPO six years later. This is an example of bootstrapping. See also: Seed money.

2. To calculate the yield curve on a zero-coupon Treasury bill. Because the U.S. Treasury does not issue new T-bills constantly, bootstrapping is used to create a yield curve by filling in the missing yields on the T-bills.

bootstrap

To assist a new business in getting off the ground.
References in periodicals archive ?
Calculate the maximum, minimum and difference of the bootstrap CUSUM, denoted [S.
The idea behind bootstrapping is that the bootstrap samples represent random re-orderings of the data that mimic the behaviour of the CUSUM if no change has occurred.
One possible distinction is between bootstraps in which the entity relies on the impact of its own action and those in which it does not.
Bootstraps do not work differently when they enable regulation of action rather than inaction, any more than they do when they enable government actions that enhance rather than constrict civil liberties.
99 quantiles for nonparametric bootstrap, parametric bootstrap with censoring and without censoring.
Differences in the Usage of Bootstrap Financing Among Technology-Based versus Nontechnology-Based Firms.
The Use of Bootstrap Financing Among Small Technology-Based Firms.
A bootstrap test does not make any assumptions about the distribution of the test statistic, and is therefore appropriate when assumptions about the distributions are violated.
For most classes, bootstrap confidence limits from the mixed-effects model were greater than those from the fixed-effects model, and bootstrap confidence limits tended to be slightly larger than the parametric confidence limits, suggesting that the resampling approach may be more conservative (Table 2).
Another way to separate bootstraps from the satisfaction of preconditions would be to say there is no bootstrapping problem when a person does Y in order to enable Z if the very purpose of requiring Y is to enable Z.
We conducted 1000 bootstrap PCAs (Efron 1987, Dixon 1993) and calculated the 5th and 95th percentiles from the resulting distributions; significance was evaluated with a one-tailed test, evaluating the lowest absolute 5% tail of the distribution.
Efron and Robert Tibshirani of the University of Toronto describe the application of the bootstrap procedure and other computationally intensive techniques to a variety of problems, both old and new, in the July 26 SCIENCE.