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  2. SEMMA - Wikipedia

    en.wikipedia.org/wiki/SEMMA

    SEMMA mainly focuses on the modeling tasks of data mining projects, leaving the business aspects out (unlike, e.g., CRISP-DM and its Business Understanding phase). Additionally, SEMMA is designed to help the users of the SAS Enterprise Miner software. Therefore, applying it outside Enterprise Miner may be ambiguous. [3]

  3. JMP (statistical software) - Wikipedia

    en.wikipedia.org/wiki/JMP_(statistical_software)

    JMP Pro is intended for data scientists, and has an emphasis on advanced predictive modelling and model selection. [41] JMP Genomics, used for analyzing and visualizing genomics data, [49] requires a SAS component to operate and can access SAS/Genetics and SAS/STAT procedures or invoke SAS macros. [48]

  4. Physiologically based pharmacokinetic modelling - Wikipedia

    en.wikipedia.org/wiki/Physiologically_based...

    The first pharmacokinetic model described in the scientific literature [2] was in fact a PBPK model. It led, however, to computations intractable at that time. The focus shifted then to simpler models, [3] for which analytical solutions could be obtained (such solutions were sums of exponential terms, which led to further simplifications.)

  5. SAS language - Wikipedia

    en.wikipedia.org/wiki/SAS_language

    The SAS macro language is made available within base SAS software to reduce the amount of code, and create code generators for building more versatile and flexible programs. [21] The macro language can be used for functionalities as simple as symbolic substitution and as complex as dynamic programming . [ 8 ]

  6. Generalized additive model for location, scale and shape

    en.wikipedia.org/wiki/Generalized_additive_model...

    GAMLSS is especially suited for modelling a leptokurtic or platykurtic and/or positively or negatively skewed response variable. For count type response variable data it deals with over-dispersion by using proper over-dispersed discrete distributions. Heterogeneity also is dealt with by modeling the scale or shape parameters using explanatory ...

  7. Uplift modelling - Wikipedia

    en.wikipedia.org/wiki/Uplift_modelling

    Traditional response modelling typically takes a group of treated customers and attempts to build a predictive model that separates the likely responders from the non-responders through the use of one of a number of predictive modelling techniques. Typically this would use decision trees or regression analysis.

  8. Comparison of agent-based modeling software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_agent-based...

    The agent-based modeling (ABM) community has developed several practical agent based modeling toolkits that enable individuals to develop agent-based applications. More and more such toolkits are coming into existence, and each toolkit has a variety of characteristics.

  9. Metamodeling - Wikipedia

    en.wikipedia.org/wiki/Metamodeling

    In software engineering, the use of models is an alternative to more common code-based development techniques. A model always conforms to a unique metamodel. One of the currently most active branches of Model Driven Engineering is the approach named model-driven architecture proposed by OMG.