Parameter: A model is a combination of variables, such as GDP growth, and coefficients which multiply these variables. The coefficients are often estimated from the data. The coefficients are called parameters.

 

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Parameter: A model is a combination of variables, such as GDP growth, and coefficients which multiply these variables. The coefficients are often estimated from the data. The coefficients are called parameters.

Request Parameter List (RPL): A VTAM (Virtual Telecommunications Access Method) control block that contains parameters necessary for processing a request (data transfer, connecting or disconnecting a terminal, etc). Also . . . View Full Definition

Theile-Small Parameters: The work of Neville Theile and Richard Small is considered to have the most impact on the loudspeaker design field. They discovered a method that could predict the frequency response perform . . . View Full Definition

Acclimation: Given a change of a single parameter, a readjustment of the physiology of an organism, reaching a new steady state

Diversity: The different types of organisms that occur in a community.

Sigma: Parameter expressing the seawater density: and equal to 1 minus the density of seawater, measured at a given temperature and at a pressure of l atmosphere

Switch: Switch/case statements control the flow of programs by checking a list of “cases” inside a set of bracket. The program checks each case for a match with the test variable and runs the code i . . . View Full Definition

Data Mining: Sorting through data to identify patterns and establish relationships. Data mining parameters include Association - looking for patterns where one event is connected to another event., Seque . . . View Full Definition

Default: A failure to discharge a duty. The term is most often used to describe the occurrence of an event that cuts short the rights or remedies of one of the parties to an agreement or legal disput . . . View Full Definition

Spatial Autocorrelation: A situation in which some parameter at any location (e.g., population density) can be predicted through a knowledge of the values of the parameter in other locations