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Everything about Parametric model
Type of statistical model
In statistics, a parametric model or parametric family or finite-dimensional model is a particular class of statistical models. Specifically, a parametric model is a family of probability distributions that has a finite number of parameters. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Parametric modelA 5-minute orientation
- Skim a recent paper: An Implicit Parametric Morphable Dental ModelInfluential work since 2022
- Pick up a classic book: Applied parameter estimation for chemical engineersThe most-reprinted book on the subject
- Read the landmark paper: Toward reliable density functional methods without adjustable parameters: The PBE0 modelCited 18,807 times
- Go sideways: Semiparametric modelA closely related topic
- Go sideways: Jeffreys priorA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Toward reliable density functional methods without adjustable parameters: The PBE0 model
Simultaneous Inference in General Parametric Models
Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.
A Parametric Wave Prediction Model
A parametric model for dark energy
Parametric Hurricane Wave Prediction Model
Model for parametric acoustic sources
A model parametric real-time logic
🆕 Influential since 2022
📚 Books worth reading
Applied parameter estimation for chemical engineersPeter Englezos · 2000- 📕Parameter Redundancy and IdentifiabilityDiana Cole · 2020
Parameterschätzung und Hypothesentests in linearen ModellenKarl-Rudolf Koch · 1980
Parametric sensitivity in chemical systemsArvind Varma, Massimo Morbidelli · 2005
Bounding approaches to system identificationM. Milanese · 1996
Nonlinear statistical modelingInternational Symposium in Economic Theory and Econometrics (13th) · 2001
Parametric sensitivity in chemical systemsArvind Varma · 1999- 📕Numerical investigation of eccentrically loaded tied high strength concrete columnsJueren Xie · 1994
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Semiparametric model In statistics, a semiparametric model is a statistical model that has parametric and nonparametric components. A statistical model is a parameterized family…
- Jeffreys prior In Bayesian statistics, the Jeffreys prior is a non-informative prior distribution for a parameter space. Named after Sir Harold Jeffreys, its density…
- Sufficient statistic In statistics, sufficiency is a property of a statistic computed on a sample dataset in relation to a parametric model of the dataset. A sufficient statistic…
- Statistical manifold In mathematics, a statistical manifold is a Riemannian manifold, each of whose points is a probability distribution. Statistical manifolds provide a setting…
- Statistical model A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from…
- Consistent estimator In statistics, a consistent estimator or asymptotically consistent estimator is an estimator—a rule for computing estimates of a parameter θ0—having the…
- Identifiability In statistics, identifiability is a property which a model must satisfy for precise inference to be possible. A model is identifiable if it is theoretically…
- Location parameter In statistics, a location parameter of a probability distribution is a scalar- or vector-valued parameter x0, which determines the "location" or shift…