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Internal rate of return (IRR) is a method of calculating an investment's rate of return.The term internal refers to the fact that the calculation excludes external factors, such as the risk-free rate, inflation, the cost of capital, or financial risk.
The English Wikipedia policy reads: "If a rule prevents you from improving or maintaining Wikipedia, ignore it." [emphasis in original] . [ 1 ] The rule was proposed by Wikipedia co-founder Larry Sanger to encourage editors to add information without focusing excessively on formatting, though Sanger later criticized [ citation needed ] the rule ...
Fisher information is widely used in optimal experimental design. Because of the reciprocity of estimator-variance and Fisher information, minimizing the variance corresponds to maximizing the information. When the linear (or linearized) statistical model has several parameters, the mean of the parameter estimator is a vector and its variance ...
MIRR is calculated as follows: = (), where n is the number of equal periods at the end of which the cash flows occur (not the number of cash flows), PV is present value (at the beginning of the first period), FV is future value (at the end of the last period).
The Text REtrieval Conference (TREC) is an ongoing series of workshops focusing on a list of different information retrieval (IR) research areas, or tracks. It is co-sponsored by the National Institute of Standards and Technology (NIST) and the Intelligence Advanced Research Projects Activity (part of the office of the Director of National Intelligence), and began in 1992 as part of the ...
In computer programming, a comment is text embedded in source code that a translator (compiler or interpreter) ignores. Generally, a comment is an annotation intended to make the code easier for a programmer to understand – often explaining an aspect that is not readily apparent in the program (non-comment) code. [ 1 ]
Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty. [1] Examples of technologies available to integrate information include deduplication, and string metrics which allow the detection of similar text in different data sources by fuzzy ...
The Shannon information is closely related to entropy, which is the expected value of the self-information of a random variable, quantifying how surprising the random variable is "on average". This is the average amount of self-information an observer would expect to gain about a random variable when measuring it.