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Details for article 12 of 15 found articles
| Title: |
Moment Information for Probability Distributions, Without Solving the Moment Problem. I: Where is the Mode? |
| Author: |
Gavriliadis, P. N. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 37 (2008) nr. 5 pages 671-681 |
| Year: |
2008-03 |
| Contents: |
How much information does a small number of moments carry about the unknown distribution function? Is it possible to explicitly obtain from these moments some useful information, e.g., about the support, the modality, the general shape, or the tails of a distribution, without going into a detailed numerical solution of the moment problem? In this paper a theoretical result of Johnson and Rogers is generalized to be valid for all moment problems and is exploited to demonstrate that a few moments are able to provide us with valuable information about the position of the mode of an unknown (unimodal) distribution. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 12 of 15 found articles
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