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Estimating the slope in measurement error models: a different perspective

Author
DAVIDOV, Ori1
[1] Department of Statistics, University of Haifa, Mount Carmel, Haifa 31905, Israel
Source

Statistics & probability letters. 2005, Vol 71, Num 3, pp 215-223, 9 p ; ref : 10 ref

CODEN
SPLTDC
ISSN
0167-7152
Scientific domain
Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Erreur mesure Estimation statistique Grand échantillon Maximum vraisemblance Modèle statistique Méthode statistique Pente Régression statistique Théorie probabilité Vision ordinateur 62Jxx Segment droite structural vision
Keyword (en)
Measurement error Statistical estimation Large sample Maximum likelihood Statistical model Statistical method Slope Statistical regression Probability theory Computer vision Structural line segment
Keyword (es)
Error medida Estimación estadística Maxima verosimilitud Modelo estadístico Método estadístico Pendiente Regresión estadística Teoría probabilidad Visión ordenador
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02B Mathematical foundations

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Discipline
Computer science : theoretical automation and systems Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16578264

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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