- estimation of properties
- определение свойств
English-Russian mining dictionary. 2015.
estimation of properties
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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
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
Calculation of glass properties — [ refractive index. [ [http://glassproperties.com/refractive index/ Calculation of the Refractive Index of Glasses] ] ] The calculation of glass properties (glass modeling) is used to predict glass properties of interest or glass behavior under… … Wikipedia
Colligative properties — are properties of solutions that depend on the number of molecules in a given volume of solvent and not on the properties/identity (e.g. size or mass) of the molecules.[1] Colligative properties include: relative lowering of vapor pressure;… … 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
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
Point estimation — In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a best guess for an unknown (fixed or random) population parameter.More formally, it is the application of a… … 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
Stochastic kernel estimation — In statistics, a stochastic kernel estimate is an estimate of the transition function of a (usually discrete time) stochastic process. Often, this is an estimate of the conditional density function obtained using kernel density estimation. The… … Wikipedia
interval estimation — Statistics. the process of estimating a parameter of a given population by specifying an interval of values and the probability that the true value of the parameter falls within this interval. Cf. point estimation. * * * ▪ statistics in… … Universalium
Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
