In statistics, model specification is part of the process of building a statistical model: specification consists of selecting an appropriate functional...

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

modelsPages displaying short descriptions of redirect targets Statistical model specification – Part of the process of building a statistical model Validity...

interference Statistical Lab – software Statistical learning theory Statistical literacy Statistical model Statistical model specification Statistical model validation...

Regression model validation Statistical model specification Durbin, James (1954). "Errors in variables". Review of the International Statistical Institute...

parametric models. Parametric family Parametric statistics Statistical model Statistical model specification Le Cam & Yang 2000, §7.4 Bickel et al. 1998, p. 2...

altered to accommodate a variety of statistical considerations. Texts and programs "simplifying" model specification via diagrams or by using equations...

mathematical means Specification language Model specification, the practice of translating theory into a statistical model Patent specification, part of a patent...

(statistics) Statistical conclusion validity Statistical model specification Statistical model validation Validity (statistics) Coefficient of determination...

learning and more generally statistical analysis, this may be the selection of a statistical model from a set of candidate models, given data. In the simplest...

definition. Statistical model selection Statistical model specification Statistical model validation Kalbfleisch, J.G. (1985), Probability and Statistical Inference...

degree of statistical modelling. Terminology is inconsistent, but three major types can be distinguished, following Jebara (2004): A generative model is a...

Ramsey Regression Equation Specification Error Test (RESET) test is a general specification test for the linear regression model. More specifically, it tests...

A specification often refers to a set of documented requirements to be satisfied by a material, design, product, or service. A specification is often a...

of models for which substantial reduction in the complexity of the related statistical theory is possible. For the regression case, the statistical model...

Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of...

represent the population in a statistical analysis. Moreover, the statistical sample must be unbiased and accurately model the population (every unit of...

In statistics, a zero-inflated model is a statistical model based on a zero-inflated probability distribution, i.e. a distribution that allows for frequent...

White test is a statistical test that establishes whether the variance of the errors in a regression model is constant: that is for homoskedasticity. This...

quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to...

is a property of a statistic computed on a sample dataset in relation to a parametric model of the dataset. A sufficient statistic contains all of the...

for which we wish to draw inferences, statistical inference consists of (first) selecting a statistical model of the process that generates the data...

In the statistical area of survival analysis, an accelerated failure time model (AFT model) is a parametric model that provides an alternative to the commonly...

Generalized linear models were formulated by John Nelder and Robert Wedderburn as a way of unifying various other statistical models, including linear...

model risk that arise from using a model: Inapplicability of model. Incorrect model specification. Programming errors. Technical errors. Use of inaccurate...

A hurdle model is a class of statistical models where a random variable is modelled using two parts, the first which is the probability of attaining value...

the researcher formulates a model, based on economic theory, for the probability of working. The canonical specification for this relationship is a probit...

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between...

econometrics, the autoregressive conditional heteroskedasticity (ARCH) model is a statistical model for time series data that describes the variance of the current...

of a specification is valid in a model. When used for testing, a model of the system under test, and a property to test is provided to the model checker...