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Population Size Estimation Using Individual Level Mixture Models

Author
MANRIQUE-VALLIER, Daniel1 ; FIENBERG, Stephen E2
[1] Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, United States
[2] Department of Statistics and Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, United States
Source

Biometrical journal. = Biometrische Zeitschrift. 2008, Vol 50, Num 6, pp 1051-1063, 13 p ; ref : 1 p

CODEN
BIJODN
ISSN
0323-3847
Scientific domain
Biomedical engineering; Mathematics
Publisher
Wiley-VCH, Weinheim
Publication country
Germany
Document type
Article
Language
English
Author keyword
BIC Capture-recapture Dependence Grade of Membership models Heterogeneity Hierarchical Bayes Log-linear models Rasch model
Keyword (fr)
Algorithme Analyse discriminante Analyse multivariable Biométrie Chaîne Markov Classification automatique (statistiques) Estimation Bayes Estimation statistique Fonction répartition Hétérogénéité Loi a posteriori Mélange loi probabilité Méthode Monte Carlo Méthode statistique Science vie Sondage statistique Taille population Théorie échantillonnage 60E05 62D05 62H12 62H30 Classification automatique(statistiques) Modèle classe latente
Keyword (en)
Algorithm Discriminant analysis Multivariate analysis Biometrics Markov chain Cluster analysis (statistics) Bayes estimation Statistical estimation Distribution function Heterogeneity Posterior distribution Mixed distribution Monte Carlo method Statistical method Life science Sample survey Population size Sampling theory Latent class model
Keyword (es)
Algoritmo Análisis discriminante Análisis multivariable Biometría Cadena Markov Estimación Bayes Estimación estadística Función distribución Heterogeneidad Ley a posteriori Mezcla ley probabilidad Método Monte Carlo Método estadístico Ciencia vida Ecuesta estadística Tamaño población Teoría muestreo
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02A General topics

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02E Sampling theory, sample surveys

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02I Multivariate analysis

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02N Applications / 001A02H02N3 Biology, psychology, social sciences

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20942359

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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