parametric estimation

parametric estimation
параметрическое оценивание

Англо-русский словарь по компьютерной безопасности. . 2011.

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  • 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

  • Estimation (project management) — For estimation in general, see Estimation.In project management (i.e., for engineering), accurate estimates are the basis of sound project planning. Many process which have been developed to aid engineers in making accurate estimates, such as… …   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

  • Cost 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

  • Software parametric models — A parametric model is a set of related mathematical equations in which alternative scenarios are defined by changing the assumed values of a set of fixed coefficients (parameters). Software project managers use software parametric models or… …   Wikipedia

  • Spectral 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… …   Wikipedia

  • Cost 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… …   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

  • 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

  • Non-parametric statistics — In statistics, the term non parametric statistics has at least two different meanings: The first meaning of non parametric covers techniques that do not rely on data belonging to any particular distribution. These include, among others:… …   Wikipedia


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