statistics, as opposed to its general use in mathematics, a parameter is any quantity of a statistical population that summarizes or describes an aspect of the...

A parameter (from Ancient Greek παρά (pará) 'beside, subsidiary' and μέτρον (métron) 'measure'), generally, is any characteristic that can help in defining...

Various measures of statistical dispersion satisfy these. In order to make the statistic a consistent estimator for the scale parameter, one must in general...

a nuisance parameter is any parameter which is unspecified but which must be accounted for in the hypothesis testing of the parameters which are of...

the U.S. Army War College In linguistics, see Principles and parameters Statistical parameter Parametrization (disambiguation) Perimeter This disambiguation...

statistic (singular) or sample statistic is any quantity computed from values in a sample which is considered for a statistical purpose. Statistical purposes...

with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical...

In statistics, a location parameter of a probability distribution is a scalar- or vector-valued parameter x 0 {\displaystyle x_{0}} , which determines...

hit selection in high-throughput screening (HTS) and has become a statistical parameter measuring effect sizes for the comparison of any two groups with...

interval (CI) is a range of values used to estimate an unknown statistical parameter, such as a population mean. Rather than reporting a single point...

the model parameters. It is closely related to the concepts of an ancillary statistic which contains no information about the model parameters, and of a...

A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from...

measures how well a statistical model explains observed data by calculating the probability of seeing that data under different parameter values of the model...

probability theory and statistics, a shape parameter (also known as form parameter) is a kind of numerical parameter of a parametric family of probability...

"point estimate" is a statistic (that is, a function of the data) that is used to infer the value of an unknown parameter in a statistical model. A common way...

affect their statistical model. In that context, they can be viewed as inputs of a function, in which case the technical term for the parameter space is domain...

Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis...

{\hat {\beta }}} be an estimator of parameter β in some statistical model. Then a t-statistic for this parameter is any quantity of the form t β ^ = β...

In physics, statistical mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic...

common use: With a shape parameter α and a scale parameter θ With a shape parameter α {\displaystyle \alpha } and a rate parameter ⁠ λ = 1 / θ {\displaystyle...

formalise this using the statistical security parameter by saying that the distributions are statistically close if the statistical distance between distributions...

A statistical database is a database used for statistical analysis purposes. It is an OLAP (online analytical processing), instead of OLTP (online transaction...

of values in the final calculation of a statistic that are free to vary. Estimates of statistical parameters can be based upon different amounts of information...

concentration parameter is a special kind of numerical parameter of a parametric family of probability distributions. Concentration parameters occur in two...

Hjorth parameters are indicators of statistical properties used in signal processing in the time domain introduced by Bo Hjorth in 1970. The parameters are...

incorrect. Robust statistical methods have been developed for many common problems, such as estimating location, scale, and regression parameters. One motivation...

or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups...

ancillary statistic contains no information about the model parameters, a complete statistic contains only information about the parameters, and no ancillary...

maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables...

information that an observable random variable X carries about an unknown parameter θ of a distribution that models X. Formally, it is the variance of the...