The negative hypergeometric distribution and estimation by moments
An exact evaluation of the joint efficiency of the method of moments is given, along with a study of properties of the moment estimation for the basic beta distribution parameters. Series are derived for the first four moments of the moment estimators; summation techniques are required for evaluatio...
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| Veröffentlicht in: | Communications in statistics. Simulation and computation 1992-01, Vol.21 (2), p.301-332 |
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| container_end_page | 332 |
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| container_issue | 2 |
| container_start_page | 301 |
| container_title | Communications in statistics. Simulation and computation |
| container_volume | 21 |
| creator | Bowman, K.O. Kastenbaum, Marvin A. Shenton, L. R. |
| description | An exact evaluation of the joint efficiency of the method of moments is given, along with a study of properties of the moment estimation for the basic beta distribution parameters. Series are derived for the first four moments of the moment estimators; summation techniques are required for evaluations, and simulation approaches are used for validation. |
| doi_str_mv | 10.1080/03610919208813021 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0361-0918 |
| ispartof | Communications in statistics. Simulation and computation, 1992-01, Vol.21 (2), p.301-332 |
| issn | 0361-0918 1532-4141 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_5257259 |
| source | Taylor & Francis Journals Complete |
| subjects | Asymptotics COETS Exact sciences and technology Joint efficiency Mathematics Moment estimators Orthogonality properties Padé approximants Parametric inference Probability and statistics Sciences and techniques of general use Statistics |
| title | The negative hypergeometric distribution and estimation by moments |
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