statistical estimation

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• Statistical Methods for Research Workers — (ISBN 0 05 002170 2) is a classic 1925 book on statistics by the statistician R.A. Fisher. It is considered by some to be one of the 20th century s most influential books on statistical methods. Chapters* Prefaces # Introduction # Diagrams #… …   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 theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… …   Wikipedia

• Statistical machine translation — (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The statistical approach contrasts with the rule based… …   Wikipedia

• Estimation par noyau — Estimation par la méthode du noyau d un échantillon de 100 nombres aléatoires distribués selon la loi normale pour différentes valeurs de la fenêtre. En statistique, l’estimation par noyau (ou encore méthode de Parzen Rozenblatt) est une méthode… …   Wikipédia en Français

• Statistical signal processing — is an area of signal processing that treats signals as stochastic processes, dealing with their statistical properties (e.g., mean, covariance, etc.). Traditionally it is taught at the graduate level in electrical engineering departments around… …   Wikipedia

• Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

• Statistical hypothesis testing — This article is about frequentist hypothesis testing which is taught in introductory statistics. For Bayesian hypothesis testing, see Bayesian inference. A statistical hypothesis test is a method of making decisions using data, whether from a… …   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

• Statistical dispersion — In statistics, statistical dispersion (also called statistical variability or variation) is variability or spread in a variable or a probability distribution. Common examples of measures of statistical dispersion are the variance, standard… …   Wikipedia

• Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on …   Wikipedia