mean-value analysis
51Earned value management — (EVM) is a project management technique for measuring project performance and progress in an objective manner. EVM has the ability to combine measurements of scope, schedule, and cost in a single integrated system. Earned Value Management is… …
52Significance analysis of microarrays — (SAM) is a statistical technique, established in 2001 by Tusher, Tibshirani and Chu, for determining whether changes in gene expression are statistically significant. With the advent of DNA microarrays it is now possible to measure the expression …
53Dynamic financial analysis — Key Uses Business mix Reinsurance Asset Allocation Profitability Solvency Sensitivity Dependency Elements …
54Medical analysis of circumcision — Numerous medical studies have examined the effects of male circumcision with mixed opinions regarding the benefits and risks of the procedure. Opponents of circumcision say it is medically unnecessary, is unethical when performed on newborns, is… …
55Cost–utility analysis — (CUA) is a form of financial analysis used to guide procurement decisions. The most common and well known application of this analysis is in pharmacoeconomics, especially health technology assessment (HTA). Contents 1 CUA in health economics 1.1… …
56Survival analysis — is a branch of statistics which deals with death in biological organisms and failure in mechanical systems. This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in economics or …
57Cluster analysis — The result of a cluster analysis shown as the coloring of the squares into three clusters. Cluster analysis or clustering is the task of assigning a set of objects into groups (called clusters) so that the objects in the same cluster are more… …
58Network analysis (electrical circuits) — Linear Network Analysis Elements …
59Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… …
60Entity-attribute-value model — (EAV), also known as object attribute value model and open schema is a data model that is used in circumstances where the number of attributes (properties, parameters) that can be used to describe a thing (an entity or object ) is potentially… …
