Estimation — is the calculated approximation of a result which is usable even if input data may be incomplete or uncertain. In statistics, estimation theory and estimator, for topics involving inferences about probability distributions forecasting and… … Wikipedia
estimation — es‧ti‧ma‧tion [ˌestˈmeɪʆn] noun [countable] 1. your opinion of the value, nature etc of someone or something: • His skills and abilities make him, in my estimation, an ideal candidate for the board of governors. 2. a calculation of what the… … Financial and business terms
Estimation of distribution algorithm — Estimation of Distribution Algorithms (EDA), sometimes called Probabilistic Model Building Genetic Algorithms (PMBGA), are an outgrowth of genetic algorithms. In a genetic algorithm, a population of candidate solutions to a problem is maintained… … Wikipedia
Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… … Wikipedia
Estimation in software engineering — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development… … Wikipedia
Estimation lemma — In mathematics, the estimation lemma gives an upper bound for a contour integral. If f is a complex valued, continuous function on the contour Gamma and if its absolute value | f ( z )| is bounded by a constant M for all z on Gamma, then:left|int … Wikipedia
German tank problem — During World War II, production of German tanks such as the Panther was accurately estimated by Allied intelligence using statistical methods. In the statistical theory of estimation, estimating the maximum of a uniform distribution is a common… … Wikipedia
Fermi problem — In physics, particularly in physics education, a Fermi problem, Fermi question, or Fermi estimate is an estimation problem designed to teach dimensional analysis, approximation, and the importance of clearly identifying one s assumptions. Named… … Wikipedia
Interval estimation — In statistics, interval estimation is the use of sample data to calculate an interval of possible (or probable) values of an unknown population parameter. The most prevalent forms of interval estimation are: * confidence intervals (a frequentist… … Wikipedia
Maximum likelihood sequence estimation — (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream. Contents 1 Theory 2 Background 3 References 4 Further reading … Wikipedia
Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… … Wikipedia