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SPSS is a widely used program for statistical analysis in social science. [9] It is also used by market researchers, health researchers, survey companies, government, education researchers, industries, marketing organizations, data miners, [10] and others.
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 ...
In early 2000, the software was developed into a client–server model architecture, and shortly afterward, the client front-end interface component was rewritten fully and replaced with a new Java front-end, which allowed deeper integration with the other tools provided by SPSS. SPSS Clementine version 7.0: The client front-end runs under Windows.
With evaluation it means the level of achieving the target for a particular evaluation item. There are general "methods", approaches as well as IT-supported "software tools" that respectively enable an effective and efficient work. The following is a list of notable methods and benchmarking software tools.
Software process simulation modelling: Like any simulation, software process simulation (SPS) is the numerical evaluation of a mathematical model that imitates the behavior of the software development process being modeled. SPS has the ability to model the dynamic nature of software development and handle the uncertainty and randomness inherent ...
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.
Unlike the major six tool capabilities (see above), the following categories are introduced for the list, which correlate closer with the product marketing or summarizes capabilities, such as requirements management (including the elicitation, analysis and specification parts) and test management (meaning verification & validation capabilities).
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related to: spss meaning software engineering tools and techniques examples list