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Detrended correspondence analysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify ecological community data. DCA is frequently used to suppress artifacts inherent in most other multivariate analyses when applied to ...
The survey, form, app or collection tool is on a mobile device such as a smart phone or a tablet. These devices offer innovative ways to gather data, and eliminate the laborious "data entry" (of paper form data into a computer), which delays data analysis and understanding.
An MO:DCA file consists of a sequential, ordered hierarchy of independent objects - documents, pages, data objects, and resource objects such as fonts and ICC profiles. Each object is delimited by begin/end structures, and objects to be rendered specify presentation parameters and resource requirements in structures called "environment groups".
Document Content Architecture, or DCA for short, is a standard developed by IBM for text documents in the early 1980s. DCA was used on mainframe and IBM i systems and formed the basis of DisplayWrite's file format. DCA was later extended as MO:DCA (Mixed Object Document Content Architecture), which added embedded data files.
Directional component analysis (DCA) [1] [2] [3] is a statistical method used in climate science for identifying representative patterns of variability in space-time data-sets such as historical climate observations, [1] weather prediction ensembles [2] or climate ensembles.
This template is used on approximately 3,500 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.
The MIDAS can also be used for machine learning time series and panel data nowcasting. [6] [7] The machine learning MIDAS regressions involve Legendre polynomials.High-dimensional mixed frequency time series regressions involve certain data structures that once taken into account should improve the performance of unrestricted estimators in small samples.
Accurate data collection is essential to many business processes, [6] [7] [8] to the enforcement of many government regulations, [9] and to maintaining the integrity of scientific research. [10] Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of ...