estimation
111Cost estimation models — are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other… …
112Small area estimation — is any of several statistical techniques involving the estimation of parameters for small sub populations, generally used when the sub population of interest is included in a larger survey.The term small area in this context generally refers to a …
113Spectral density estimation — In statistical signal processing, the goal of spectral density estimation is to estimate the spectral density (also known as the power spectrum) of a random signal from a sequence of time samples of the signal. Intuitively speaking, the spectral… …
114Articulated body pose estimation — Articulated body pose estimation, in computer vision, is the study of algorithms and systems that recover the pose of an articulated body, which consists of joints and rigid parts using image based observations. It is one of longest lasting… …
115point estimation — Statistics. the process of determining a single estimated value (point estimate) of a parameter of a given population. Cf. interval estimation. [1960 65] * * * ▪ statistics in statistics, the process of finding an approximate value of some… …
116estimate, estimation — An estimate is a calculation or judgment as to the value, size, or qualities of something. Because an estimation is the forming of an estimate, the two words are often used interchangeably, although estimate is more often applied to things and… …
117Traffic estimation and prediction system — (TrEPS) have the potential to improve traffic conditions and reduce travel delays by facilitating better utilization of available capacity. These systems exploit currently available and emerging computer, communication, and control technologies… …
118Good–Turing frequency estimation — is a statistical technique for predicting the probability of occurrence of objects belonging to an unknown number of species, given past observations of such objects and their species. (In drawing balls from an urn, the objects would be balls and …
119Maximum entropy spectral estimation — The maximum entropy method applied to spectral density estimation. The overall idea is that the maximum entropy rate stochastic process that satisfies the given constant autocorrelation and variance constraints, is a linear Gauss Markov process… …
120Structural estimation — Economists, econometricians, and statisticians use structural estimation techniques like GMM and maximum likelihood to estimate deep structural parameters of theoretical models. In this sense, structural estimation is contrasted with reduced form …
