Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Klaus L. P. Vasconcellos"'
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
The beta distribution is routinely used to model variables that assume values in the standard unit interval, (0, 1). Several alternative laws have, nonetheless, been proposed in the literature, such as the Kumaraswamy and simplex distributions. A nat
Externí odkaz:
https://doaj.org/article/9038e6af14b64dacbd74d48352088cd7
Publikováno v:
Statistical Theory and Related Fields, Vol 2, Iss 2, Pp 206-214 (2018)
In this paper, methods based on ranks and signs for estimating the parameters of the first-order integer-valued autoregressive model in the presence of additive outliers are proposed. In particular, we use the robust sample autocorrelations based on
Externí odkaz:
https://doaj.org/article/abe747b2e53540edbc2fec3fc3f03e8a
Publikováno v:
Communications in Statistics - Theory and Methods. 50:4822-4843
In this paper, we introduce a first order integer-valued autoregressive process with Borel innovations based on the binomial thinning. This model is suitable to modeling zero truncated count time s...
Autor:
Maria do Carmo S. Lima, Klaus L. P. Vasconcellos, Jalmar M. F. Carrasco, Daniele de Brito Trindade, Patrícia L. Espinheira
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254103 (2021)
PLoS ONE
PLoS ONE
We propose in this paper a general class of nonlinear beta regression models with measurement errors. The motivation for proposing this model arose from a real problem we shall discuss here. The application concerns a usual oil refinery process where
Publikováno v:
Journal of Statistical Theory and Practice. 12:718-743
In this article, we propose a new integer-valued autoregressive process with generalized Poisson difference marginal distributions based on difference of two quasi-binomial thinning operators. This model is suitable for data sets on ℤ = {..., -2, -
Publikováno v:
Statistical Methodology. 31:8-19
In this paper, we introduce a stationary first-order integer-valued autoregressive process with geometric–Poisson marginals. The new process allows negative values for the series. Several properties of the process are established. The unknown param
Publikováno v:
Journal of Statistical Computation and Simulation. 85:2425-2441
We consider the first-order Poisson autoregressive model proposed by McKenzie [Some simple models for discrete variate time series. Water Resour Bull. 1985;21:645–650] and Al-Osh and Alzaid [First-order integer valued autoregressive (INAR(1)) proce
Publikováno v:
Journal of Statistical Computation and Simulation
Journal of Statistical Computation and Simulation, Taylor & Francis, 2015, 86 (2), pp.373-387. ⟨10.1080/00949655.2015.1015127⟩
Journal of Statistical Computation and Simulation, Taylor & Francis, 2015, 86 (2), pp.373-387. ⟨10.1080/00949655.2015.1015127⟩
This paper introduces a non-negative integer-valued autoregressive (INAR) process with seasonal structure of first order, which is an extension of the standard INAR(1) model proposed by Al-Osh and Alzaid [First-order integer-valued autoregressive (IN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac65e7bf8aa7cc2412b08ec8a47ec1c1
Publikováno v:
Computational Statistics & Data Analysis. 55:1379-1393
In this paper we introduce a general extreme-value regression model and derive Cox and Snell's (1968) general formulae for second-order biases of maximum likelihood estimates (MLEs) of the parameters. We obtain formulae which can be computed by means
Publikováno v:
Computational Statistics & Data Analysis. 53:3972-3979
The main purpose of this work is to study the behaviour of Skovgaard's [Skovgaard, I.M., 2001. Likelihood asymptotics. Scandinavian Journal of Statistics 28, 3-32] adjusted likelihood ratio statistic in testing simple hypothesis in a new class of reg