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aggregated model

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  • Aggregated Indices Randomization Method — (AIRM) is a modification of well known aggregated indices method being aimed at complex objects multi criteria estimation under uncertainty. The main advantage of AIRM over other variants of aggregated indices methods is its ability to use non… …   Wikipedia

  • Database model — A database model is the theoretical foundation of a database and fundamentally determines in which manner data can be stored, organized, and manipulated in a database system. It thereby defines the infrastructure offered by a particular database… …   Wikipedia

  • Productivity model — Productivity in economics is the ratio of what is produced to what is required to produce. Productivity is the measure on production efficiency. Productivity model is a measurement method which is used in practice for measuring productivity.… …   Wikipedia

  • Gravity model of trade — The gravity model of trade in international economics, similar to other gravity models in social science, predicts bilateral trade flows based on the economic sizes of (often using GDP measurements) and distance between two units. The model was… …   Wikipedia

  • Entity–attribute–value model — (EAV) is a data model to describe entities where the number of attributes (properties, parameters) that can be used to describe them is potentially vast, but the number that will actually apply to a given entity is relatively modest. In… …   Wikipedia

  • Dimensional Fact Model — Data Warehouses (DWs) are databases used by decision makers to analyze the status and the development of an organization. DWs are based on large amounts of data integrated from heterogeneous sources into multidimensional databases, and they are… …   Wikipedia

  • Client–server model — The client–server model of computing is a distributed application that partitions tasks or workloads between the providers of a resource or service, called servers, and service requesters, called clients.[1] Often clients and servers communicate… …   Wikipedia

  • Berkson error model — The Berkson error model is a description of random error (or misclassification) in measurement. Unlike classical error, Berkson error causes little or no bias in the measurement. It was proposed by Joseph Berkson in a paper entitled Are there two …   Wikipedia

  • population model — a component of a stock assessment model describing how the population changes over time. May be age/size structured or biomass based, deterministic or stochastic, density dependent or density independent, spatially structured or spatially… …   Dictionary of ichthyology

  • Shared Information & Data Model — Das SID Framework wird für die Telekommunikationsindustrie entwickelt. Verschiedene große Telekommunikationsunternehmen, die Mitglieder der Organisation TeleManagement Forum sind, unterstützen über diesen Zusammenschluss die Entwicklung eines… …   Deutsch Wikipedia

  • Shared Information & Data Model — Das SID Framework wird für die Telekommunikationsindustrie entwickelt. Verschiedene große Telekommunikationsunternehmen, die Mitglieder der Organisation TeleManagement Forum sind, unterstützen über diesen Zusammenschluss die Entwicklung eines… …   Deutsch Wikipedia

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