The process of setting up an application to interact with CORBA objects that are located within the WebLogic Enterprise domain
The idea that improving a capability on which other capabilities depend automatically improves the dependent capabilities
An iterative calculation technique, often used in the construction of specialized time series For example, the calculation of forward rates from traditional yield curves uses an iterative process to extract the implied rate for each forward period
In phylogenetic analysis: Perform analysis x number of times, with subtle randomization of the input data The the number of times a particular branch is formed in the tree (out of the x times) can be used to estimate its probability, which can be indicated on a consensus tree
Training data sets are created by re-sampling with replacement from the original training set, so data records may occur more than once In other words, this method treats a sample as if it were the entire population Usually, final estimates are obtained by taking the average of the estimates from each of the bootstrap test sets
A means of finding creative ways to support a start-up business until it turns profitable This method may include negotiating delayed payment to suppliers and advances from potential partners and customers
This term has two meanings First, it refers to the procedure where coupon bonds are used to generate the set of zero-coupon bond prices Second, it means the use of historical returns to create an empirical probability distribution for returns
In business, this term refers to the process of financing a business by internally generated cash flow as opposed to "kickstarting" the company with external investment capital It means keeping salaries and expenses down while generating customer sales to fuel the growth of the venture
A means of finding creative ways to support a startup business until it turns profitable This method may include negotiating delayed payment to suppliers and advances from potential partners and customers
In this option, bootstrap samples are drawn from the original data points with replacement So, it is possible to draw one data point several times and others not at all The fit process is repeated using such a bootstrap sample The starting point of the parameters is always the result of the fit of the original set It is further possible that a fit is rejected if no `good' fit is obtained The sets of parameter estimates of the bootstrap samples are combined to get an idea of the distribution of the estimates A log is kept of all fitted samples
stichprobenwiederholung mit ersetzen einer zufallsvariablen