Local estimation of probability distribution and how it depends on covariates / Geoffrey T. Evans.: Fs70-1/2000-120E-PDF
The kernel smoothing method for obtaining a locally weighted estimate of mean value is extended to produce a locally weighted estimate of the whole probability distribution function. This has several advantages in analysing data sets where there exists no trusted theory. For example, it automatically provides the basis for performing Monte Carlo simulations. Examples of applications to several areas of fisheries science are provided.
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| Department/Agency | Canada. Department of Fisheries and Oceans. Canada. Canadian Stock Assessment Secretariat. |
|---|---|
| Title | Local estimation of probability distribution and how it depends on covariates / Geoffrey T. Evans. |
| Series title | Canadian Stock Assessment Secretariat research document, 1480-4883 ; 2000/120 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | Includes bibliographic references. |
| Publishing information | Ottawa : Fisheries and Oceans Canada, 2000. |
| Author / Contributor | Evans, Geoffrey T.1948- |
| Description | 11 p. : fig., graphs. |
| Catalogue number |
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| Subject terms | Fisheries resources Biomass Modelling Fisheries management |
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