Abstract: Transactions involving assets that share a common characteristic are represented as respective data points associated with values of the assets. The data points include transaction value information. Respective statistical values are determined for the data points with respect to a probability density function that fits a power law parameterization to the data points. A probability function describing the statistical values is evaluated as a measure of confidence that the probability density function of the data points is validly represented by the power law parametrization.

Abstract: Transactions involving assets that share a common characteristic are represented as respective data points associated with values of the assets. The data points include transaction value information. Respective statistical values are determined for the data points with respect to a probability density function that fits a power law parameterization to the data points. A probability function describing the statistical values is evaluated as a measure of confidence that the probability density function of the data points is validly represented by the power law parametrization.

Abstract: A computer-based method for aiding a user to develop a computer-based simulation model of the kind which simulates a multiple variable system using a suite of equations. Stored, user-entered constraint knowledge defines possible conditions of variables of the multiple variable system and corresponding expected consequences on variables of the system. The possible conditions are automatically applied to the suite of equations to produce test consequences on variables of the system. Then the test consequences are automatically analyzed against the expected consequences as an indication of the validity of the simulation model.