statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate since it identifies a point in some parameter...

Estimation (or estimating) is the process of finding an estimate or approximation, which is a value that is usable for some purpose even if input data...

The three-point estimation technique is used in management and information systems applications for the construction of an approximate probability distribution...

a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to the method of maximum likelihood (ML) estimation, but...

variety of statistical estimation problems, such as accident rates and clinical trials.[citation needed] We simply seek a point prediction of θ i {\displaystyle...

equation of the correction factor for small samples of n < 20. See unbiased estimation of standard deviation for further discussion. The standard error on the...

estimation is the use of sample data to estimate an interval of possible values of a parameter of interest. This is in contrast to point estimation,...

In statistics, probability density estimation or simply density estimation is the construction of an estimate, based on observed data, of an unobservable...

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed...

In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method...