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A standard SAS program typically entails the definition of data, the creation of a data set, and the performance of procedures such as analysis on that data set. [18] SAS scripts have the .sas extension. A simple example of SAS code is the following
SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. [8] SAS data can be published in HTML, PDF, Excel, RTF and other formats using the Output Delivery System, which was first introduced in 2007. [9] SAS Enterprise Guide is SAS's point-and-click interface.
SAS No. 119, Supplementary Information in Relation to the Financial Statements as a Whole (issued February 2010); and; SAS No. 120, Required Supplementary Information (issued February 2010). SAS No. 122 also withdraws SAS No. 26, Association With Financial Statements, as amended. The AICPA is the source of the most up-to-date information.
SAS allows a higher transfer speed (SAS-1, SAS-2, SAS-3, and SAS-4 supports data bandwidth of 3, 6, 12, and 24 Gbits/sec, respectively) [10] than most parallel SCSI standards. SAS achieves these speeds on each initiator-target connection, hence getting higher throughput, whereas parallel SCSI shares the speed across the entire multidrop bus.
SAS 99 defines fraud as an intentional act that results in a material misstatement in financial statements. There are two types of fraud considered: misstatements arising from fraudulent financial reporting (e.g. falsification of accounting records) and misstatements arising from misappropriation of assets (e.g. theft of assets or fraudulent expenditures).
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS ), which helps access, manage, analyze and report on data to aid in decision-making.
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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 ...