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  2. Price optimization - Wikipedia

    en.wikipedia.org/wiki/Price_optimization

    Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).

  3. Comparison of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_numerical...

    Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free

  4. List of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical-analysis...

    IGOR Pro, a software package with emphasis on time series, image analysis, and curve fitting. It comes with its own programming language and can be used interactively. LabPlot is a data analysis and visualization application built on the KDE Platform. MFEM is a free, lightweight, scalable C++ library for finite element methods.

  5. Prediction: This Artificial Intelligence (AI) Software ... - AOL

    www.aol.com/prediction-artificial-intelligence...

    In this example, that would imply the company's split-adjusted share price would be $10 and its outstanding share count would be 10 million. Given these changes, the company's market cap remains ...

  6. Putnam model - Wikipedia

    en.wikipedia.org/wiki/Putnam_model

    It is one of the earliest of these types of models developed. Closely related software parametric models are Constructive Cost Model , Parametric Review of Information for Costing and Evaluation – Software (PRICE-S), and Software Evaluation and Estimation of Resources – Software Estimating Model .

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    For example, identifying suspects after a crime has been committed, or credit card fraud as it occurs. [4] The core of predictive analytics relies on capturing relationships between explanatory variables and the predicted variables from past occurrences, and exploiting them to predict the unknown outcome.

  8. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...

  9. Software analytics - Wikipedia

    en.wikipedia.org/wiki/Software_analytics

    Software analytics is the analytics specific to the domain of software systems taking into account source code, static and dynamic characteristics (e.g., software metrics) as well as related processes of their development and evolution.