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In econometrics and statistics, the generalized method of moments (GMM) is a generic method for estimating parameters in statistical models.Usually it is applied in the context of semiparametric models, where the parameter of interest is finite-dimensional, whereas the full shape of the data's distribution function may not be known, and therefore maximum likelihood estimation is not applicable.
When liquidating the fund, if the LPs were distributed less than the agreed preferred return, they claw back the missing amount from the carried interest distributed to the GP. [ 5 ] [ 6 ] The clawback clause is triggered at the very end of the fund, at a time where the General Partner may have already put the clawback amount to other use.
The term clawback or claw back refers to any money or benefits that have been given out, but are required to be returned (clawed back) due to special circumstances or events, such as the monies having been received as the result of a financial crime, or where there is a clawback provision in the executive compensation contract. [1] [2]
As alert requires a string, form produces a string from the result of calculate; The get-word! values (i.e., :calc-product and :calc-sum) trigger the interpreter to return the code of the function rather than evaluate with the function. The datatype! references in a block! [float! integer!] restrict the type of values passed as arguments.
Ruth Madoff's combined assets with her husband had a net worth of between $823 million and $826 million.She had $92.6 million in assets listed in her own name: [9] the $7 million penthouse on Manhattan's Upper East Side; an $11 million mansion in Palm Beach, Florida; a three-bedroom apartment in Cap d'Antibes on the French Riviera valued at $1.5 million; $45 million in municipal bonds and $17 ...
The relationship between these two value functions is called the "Bellman equation". In this approach, the optimal policy in the last time period is specified in advance as a function of the state variable's value at that time, and the resulting optimal value of the objective function is thus expressed in terms of that value of the state variable.
In Perl, a return value or values of a subroutine can depend on the context in which it was called. The most fundamental distinction is a scalar context where the calling code expects one value, a list context where the calling code expects a list of values and a void context where the calling code doesn't expect any return value at all.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.