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.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.806105&sl=0
| Department/Agency |
|
|---|---|
| Title | Local estimation of probability distribution and how it depends on covariates / Geoffrey T. Evans. |
| Series title |
|
| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
| Electronic document | |
| Note(s) |
|
| Publishing information |
|
| Author / Contributor |
|
| Description | 11 p. : fig., graphs. |
| Catalogue number |
|
| Subject terms |
Request alternate formats
To request an alternate format of a publication, complete the Government of Canada Publications email form. Use the form’s “question or comment” field to specify the requested publication.Page details
- Date modified: