Biases of the maximum likelihood and Cohen-Sackrowitz estimators for the tree-order model
- Author
- CHAUDHURI, Sanjay1 ; PERLMAN, Michael D1
[1] Department of Statistics, University of Washington, Box 35-4322, Seattle, WA 98195-4322, United States - Source
Statistics & probability letters. 2005, Vol 71, Num 3, pp 267-276, 10 p ; ref : 14 ref
- CODEN
- SPLTDC
- ISSN
- 0167-7152
- Scientific domain
- Mathematics
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Estimation biaisée Estimation sans biais Loi normale Maximum vraisemblance Méthode statistique Théorie probabilité 62J10 Biais asymptotique Estimation Cohen Sackrowitz Restriction ordre
- Keyword (en)
- Biased estimation Unbiased estimation Gaussian distribution Maximum likelihood Statistical method Probability theory Asymptotic bias Cohen Sackrowitz estimation Order restriction
- Keyword (es)
- Estimación sesgada Estimación insesgada Curva Gauss Maxima verosimilitud Método estadístico Teoría probabilidad
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01F Distribution theory
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02B Mathematical foundations
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16578269
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.spl.2004.11.008 
https://dx.doi.org/10.1016/j.spl.2004.11.008
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