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...

parametric model or parametric family or finite-dimensional model is a particular class of statistical models. Specifically, a parametric model is a family...

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

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

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

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

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

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

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

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

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

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

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...

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...

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

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...

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...

degree of statistical modelling. Terminology is inconsistent, but three major types can be distinguished: A generative model is a statistical model of the...

two-dimensional drawings or three-dimensional models of the molecules. The original SMILES specification was initiated in the 1980s. It has since been...

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

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...

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

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

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

used to compare different statistical models and find the one that best describes the population the data came from. When models are created using the least...

which model specifications are more or less likely to cause larger or more robust effect sizes (or not). Evidence against single studies or statistical models...

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...

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