- density histogram
- мат. гистограмма плотностей распределения
Большой англо-русский и русско-английский словарь. 2001.
density histogram
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Histogram — In statistics, a histogram is a graphical display of tabulated frequencies, shown as bars. It shows what proportion of cases fall into each of several categories. A histogram differs from a bar chart in that it is the area of the bar that denotes … Wikipedia
Density of states — Condensed matter physics Phases · Phase tr … Wikipedia
Density 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… … 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
Recurrence period density entropy — (RPDE) is a method, in the fields of dynamical systems, stochastic processes, and time series analysis, for determining the periodicity, or repetitiveness of a signal. Overview Recurrence period density entropy is useful for characterising the… … Wikipedia
Vector Field Histogram — In robotics, Vector Field Histogram (VFH) is a real time motion planning algorithm proposed by Johann Borenstein and Yoram Koren in 1991.cite journal author = Borenstein, J. coauthors = Koren, Y. year = 1991 title = The vector field histogram… … Wikipedia
Wang and Landau algorithm — The Wang and Landau algorithm is an extension of Metropolis Monte Carlo sampling.Initially designed for physical systems, the Metropolis Monte Carlo method was based on Boltzmann s insight that at a given temperature molecules are distributed… … Wikipedia
Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… … Wikipedia
Entropy estimation — Estimating the differential entropy of a system or process, given some observations, is useful in various science/engineering applications, such as Independent Component Analysis [Dinh Tuan Pham (2004) Fast algorithms for mutual information based … Wikipedia
Mode (statistics) — In statistics, the mode is the value that occurs most frequently in a data set or a probability distribution.[1] In some fields, notably education, sample data are often called scores, and the sample mode is known as the modal score.[2] Like the… … Wikipedia
