Search results
Results from the WOW.Com Content Network
Each form of the BRIEF parent- and teacher- rating form contains 86 items in eight non-overlapping clinical scales and two validity scales.These theoretically and statistically derived scales form two indexes: Behavioral Regulation (three scales) and Metacognition (five scales), as well as a Global Executive Composite [6] score that takes into account all of the clinical scales and represents ...
The Shlaer–Mellor method, also known as object-oriented systems analysis (OOSA) or object-oriented analysis (OOA) is an object-oriented software development methodology introduced by Sally Shlaer and Stephen Mellor in 1988. The method makes the documented analysis so precise that it is possible to implement the analysis model directly by ...
Partial least squares (PLS) regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression; [1] instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a new space of maximum ...
In numerical analysis, a multigrid method (MG method) is an algorithm for solving differential equations using a hierarchy of discretizations. They are an example of a class of techniques called multiresolution methods , very useful in problems exhibiting multiple scales of behavior.
The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. [1] It is designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self ...
The disadvantage of this method is that many real-world phenomena do not have obviously trivial elements and cannot be simplified. Morphological analysis works backwards from the output towards the system internals without a simplification step. [4] The system's interactions are fully accounted for in the analysis.
In applied statistics, the Morris method for global sensitivity analysis is a so-called one-factor-at-a-time method, meaning that in each run only one input parameter is given a new value. It facilitates a global sensitivity analysis by making a number r {\displaystyle r} of local changes at different points x ( 1 → r ) {\displaystyle x(1 ...
An improvement of this method was developed by Campolongo et al. [7] who proposed a revised measure , which on its own is sufficient to provide a reliable ranking of the input factors. The revised measure is the mean of the distribution of the absolute values of the elementary effects of the input factors: