over-estimation
1Estimation 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… …
2Estimation 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… …
3Estimation 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… …
4Estimation 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 …
5Software development effort estimation — is the process of predicting the most realistic use of effort required to develop or maintain software based on incomplete, uncertain and/or noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment …
6Trend 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 …
7Kernel 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… …
8Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… …
9Lemme d'estimation — En mathématiques, le lemme d estimation (aussi appelé lemme d estimation standard[1]) donne un majorant (du module) d une intégrale curviligne. Si f est une fonction à valeurs complexes, continue sur le chemin rectifiable γ, on a : où L(γ)… …
10Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… …
