Search Results - "LEITE, JOSÉ GALVÃO"

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  1. 1

    A note on identifiability and maximum likelihood estimation for a heterogeneous capture-recapture model by Pezzott, George Lucas Moraes, Salasar, Luis Ernesto Bueno, Leite, José Galvão, Louzada-Neto, Francisco

    “…This article discusses identifiability and maximum likelihood estimation for a closed population capture-recapture model with heterogeneity in capture…”
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    Journal Article
  2. 2

    Theory & Methods: An Empirical Bayes Inference for the von Mises Distribution by Rodrigues, Josemar, Galvão Leite, José, Milan, Luis A.

    “…This paper develops an empirical Bayesian analysis for the von Mises distribution, which is the most useful distribution for statistical inference of angular…”
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  3. 3

    A Note on Bayesian Analysis in M/M/1 Queues Derived from Confidence Intervals by Rodrigues, Josemar, Leite, José Galvâo

    Published in Statistics (Berlin, DDR) (01-01-1998)
    “…The purpose of this paper is to use the implied likelihood introduced by Efron (1993) for making Bayesian inference about the traffic intensity ρ in a M/M/1…”
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  4. 4

    On the integrated maximum likelihood estimators for a closed population capture-recapture model with unequal capture probabilities by Salasar, Luis Ernesto B., Leite, José Galvão, Louzada, Francisco

    Published in Statistics (Berlin, DDR) (02-11-2015)
    “…Nuisance parameter elimination is a central problem in capture-recapture modelling. In this paper, we consider a closed population capture-recapture model…”
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    Journal Article
  5. 5

    A Bayesian estimation of lag lengths in distributed lag models by Diniz, Carlos Alberto Ribeiro, Rodrigues, Camila Pedrozo, Leite, Jose Galvão, Pires, Rubiane Maria

    “…Dynamic regression models are widely used because they express and model the behaviour of a system over time. In this article, two dynamic regression models,…”
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  6. 6

    A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes by Tsunemi, Miriam Harumi, Campos, Thiago Feitosa, Esteves, Luís Gustavo, Leite, José Galvão, Wechsler, Sergio

    “…A Bayesian nonparametric model for Taguchi's on-line quality monitoring procedure for attributes is introduced. The proposed model may accommodate the original…”
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  7. 7

    A Lognormal Model for Insurance Claims Data by Daiane Aparecida Zuanetti, Carlos A. R. Diniz, José Galvão Leite

    Published in Revstat (01-06-2006)
    “…In the insurance area, especially based on observations of the number of claims, N(w), corresponding to an exposure w, and on observations of the total amount…”
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  8. 8

    Likelihood-based inference for population size in a capture–recapture experiment with varying probabilities from occasion to occasion by Salasara, Luis Ernesto Bueno, Leite, José Galvão, Louzada, Francisco

    “…The estimation of the size of a population is, in general, performed using capture–recapture experiments. In this paper, we consider a closed population…”
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  9. 9

    A HIERARCHICAL BAYES ANALYSIS OF DATA ON DAILY ACTIVITY CYCLES by Diniz, Carlos Alberto Ribeiro, Leite, José Galvão

    “…The classical approach in analysis of data on daily activity cycles is difficult due to the randomness of the daily total group activity and dependency in the…”
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  10. 10

    Chironomid species richness in low-order streams in the Brazilian Atlantic Forest: a first approximation through a Bayesian approach by Roque, Fabio de Oliveira, Trivinho-Strixino, Susana, Milan, Luis, Leite, José Galvão

    “…The Atlantic Forest of Brazil has been identified as a biodiversity hotspot of global significance. We assessed chironomid (Diptera:Chironomidae) taxa richness…”
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  11. 11

    SOME BAYESIAN RESULTS ON THE POPULATION SIZE FOR CAPTURE-RECAPTURE MODELS by Zacharias, Helder P., Leite, José Galvão, Diniz, Carlos A. R.

    “…We present a Bayesian approach for problems related to capture-recapture models taking into account informative and noninformative priors for the models…”
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  12. 12

    A generalized negative binomial distribution based on an extended Poisson process by Salasar, Luis Ernesto Bueno, Leite, José Galvão, Louzada-Neto, Francisco

    “…In this article we propose a generalized negative binomial distribution, which is constructed based on an extended Poisson process (a generalization of the…”
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  13. 13
  14. 14

    A note on the exact maximum likelihood estimation of the size of a finite and closed population by LEITE, JOSÉ GALVÃO, OISHI, JORGE, DE BRAGANÇA PEREIRA, CARLOS ALBERTO

    Published in Biometrika (01-03-1988)
    “…Using data obtained by the general capture-recapture sequential sampling process, an analytical expression for the maximum likelihood estimate of the…”
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  15. 15

    EXACT EXPRESSIONS FOR THE POSTERIOR MODE OF A FINITE POPULATION SIZE: CAPTURE-RECAPTURE SEQUENTIAL SAMPLING by Leite, José Galvão, Bolfarine, Heleno, Rodrigues, Josemar

    “…Using data obtained by a multiple capture-recapture experiment that depends on the catchability of the individuals in a closed population, an exact analytical…”
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  16. 16

    Chironomid species richness in low-order streams in the Brazilian Atlantic Forest: a first approximation through a Bayesian approach by Roque, Fabio de Oliveira, Trivinho-Strixino, Susana, Milan, Luis, Leite, José Galvão

    “…The Atlantic Forest of Brazil has been identified as a biodiversity hotspot of global significance. We assessed chironomid (Diptera: Chironomidae) taxa…”
    Get full text
    Journal Article
  17. 17

    Bayes Estimation of the Size of a Finite Population: Capture/Recapture Sequential Sample Data by Leite, José Galvão, Carlos Alberto de Bragança Pereira

    Published in International statistical review (01-12-1990)
    “…The Bayes' estimator of the population size, based on data obtained by the general capture/recapture sequential sampling process, is introduced. Properties…”
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  18. 18

    A Simple Non-Parametric Bayes Solution to the Estimation of the Size of a Closed Animal Population by Rodrigues, Josemar, Bolfarine, Heleno, Leite, José Galvão

    “…This paper presents a simple non-parametric Bayes estimator of the animal population size under a realistic model which allows capture probabilities to vary by…”
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