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What (who) is estimation model - definition
CONSTRUCTION OF AN ESTIMATE, BASED ON OBSERVED DATA, OF AN UNOBSERVABLE UNDERLYING PROBABILITY DENSITY FUNCTION
Density Estimation; Probability estimation; Probability density estimation
![Histogram and density function for a Gumbel distribution <ref>[https://www.waterlog.info/cumfreq.htm A calculator for probability distributions and density functions]</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/Gumbel distribtion.png?width=200 "Histogram and density function for a Gumbel distribution <ref>[https://www.waterlog.info/cumfreq.htm A calculator for probability distributions and density functions]</ref>")
Minimum-distance estimation
METHOD FOR FITTING A STATISTICAL MODEL TO DATA
Minimum distance estimation
Minimum-distance estimation (MDE) is a conceptual method for fitting a statistical model to data, usually the empirical distribution. Often-used estimators such as ordinary least squares can be thought of as special cases of minimum-distance estimation.
Model act
SUGGESTED EXAMPLE FOR HOW TO WRITE A LAW WELL
Model Act; Model law; Model legislation; Model statute; Model Law; Model laws; Model acts; Model bill; Model bills; Model Procurement Code for State and Local Governments
A model act, also called a model law or a piece of model legislation, is a suggested example for a law, drafted centrally to be disseminated and suggested for enactment in multiple independent legislatures. The motivation classically has been the hope of fostering more legal uniformity among jurisdictions, and better practice in legislative wording, than would otherwise occur; another motivation sometimes has been lobbying disguised under such ideals.
Cost estimation models
Cost modeling
Cost estimation models are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other financial planning and tracking mechanisms.
Wikipedia
Density estimation
In statistics, probability density estimation or simply density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.
A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.
