estimation result

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• 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 — 1. Fowler described the use of estimation in the phrase in my estimation (= in my opinion) as ‘illiterate’, a verdict which is negated by several centuries of use in this meaning: • The dearest of men in my estimation E. W. Lane, 1841 • It was… …   Modern English usage

• estimation — estimation, estimate both mean the act of valuing or appraising, but they are rarely interchangeable. In general, estimation implies the manner or measure in which a person or thing is valued or esteemed {the degree in which he is held in… …   New Dictionary of Synonyms

• 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 — n. 1 the process or result of estimating. 2 judgement or opinion of worth (in my estimation). 3 archaic esteem (hold in estimation). Etymology: ME f. OF estimation or L aestimatio (as ESTIMATE) …   Useful english dictionary

• estimation — I (Roget s IV) n. 1. [A personal estimate] Syn. opinion, appraisal, evaluation, view; see judgment 3 . 2. [The act of making an estimate] Syn. calcuLating, estimating, predicting, reckoning; see calculation 1 , estimate 1 , guess . II (Roget s… …   English dictionary for students

• Trend estimation — is a statistical technique to aid interpretation of data. When a series of measurements of a process are treated as a time series, trend estimation can be used to make and justify statements about tendencies in the data. By using trend estimation …   Wikipedia

• Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… …   Wikipedia

• Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   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

• Rasch model estimation — Various techniques are employed in order to estimate parameters of the Rasch model from matrices of response data. The most common approaches are methods of maximum likelihood estimation, such as joint and conditional maximum likelihood… …   Wikipedia