numerical identification
31Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …
32UIC wagon numbers — Wagon numbers …
33Robust regression — In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non parametric methods. Regression analysis seeks to find the effect of one or more independent… …
34Eyewall replacement cycle — Concentric eyewalls seen in Hurricane Katrina as it travels west through the Gulf of Mexico. Eyewall replacement cycles, also called concentric eyewall cycles, naturally occur in intense tropical cyclones, generally with winds greater than… …
35Vehicle registration plate — A vehicle registration plate is a metal or plastic plate attached to a motor vehicle or trailer for official identification purposes. The registration identifier is a numeric or alphanumeric code that uniquely identifies the vehicle within the… …
36Nominal number — For the economics term, see Real vs. nominal in economics. Nominal numbers (sometimes called categorical numbers) are numerals used for identification only. The numerical value is irrelevant, and they do not indicate quantity, rank, or any other… …
37Electronic lock — A quick demonstration of an electronic door lock An electronic lock (more precisely an electric lock) is a locking device which operates by means of electric current. Electric locks are sometimes stand alone with an electronic control assembly… …
38taxonomy — taxonomic /tak seuh nom ik/, taxonomical, adj. taxonomically, adv. taxonomist, taxonomer, n. /tak son euh mee/, n. 1. the science or technique of classification. 2. Biol. the science dealing with the description, identification, naming, and… …
39Digital holographic microscopy — Contents 1 Working principle 2 Advantages 3 Applications 4 …
40Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …
