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A new class of bivariate Lindley distributions based on stress and shock models and some of their reliability properties

Reliability engineering & system safety, 2021-07, Vol.211, p.107528, Article 107528

2021

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A Stochastic Bayesian Artificial Intelligence Framework to Assess Climatological Water Balance under Missing Variables for Evapotranspiration Estimates

Agronomy (Basel), 2023-12, Vol.13 (12), p.2970

2023

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Bayesian Multi-Targets Strategy to Track Apis mellifera Movements at Colony Level

Insects (Basel, Switzerland), 2022-02, Vol.13 (2), p.181

2022

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The Lindley distribution applied to competing risks lifetime data

Computer methods and programs in biomedicine, 2011-11, Vol.104 (2), p.188-192

2011

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Effects on Endothelin‐1 on Irisin Production By Myocytes Derived From C2C12 Cells

The FASEB journal, 2022-05, Vol.36 (S1), p.n/a

2022

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Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data

Computer methods and programs in biomedicine, 2013-12, Vol.112 (3), p.343-355

2013

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A Bayesian analysis for pseudo-compositional data with spatial structure

Statistical methods in medical research, 2020-05, Vol.29 (5), p.1386-1402

2020

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Bayesian analysis of the generalized gamma distribution using non-informative priors

Statistics (Berlin, DDR), 2017-07, Vol.51 (4), p.824-843

2017

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Bayesian bivariate generalized Lindley model for survival data with a cure fraction

Computer methods and programs in biomedicine, 2014-11, Vol.117 (2), p.145-157

2014

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Mixture and nonmixture cure fraction models assuming discrete lifetimes: Application to a pelvic sarcoma dataset

Biometrical journal, 2019-07, Vol.61 (4), p.813-826

2019

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Time Series Regression Models for COVID-19 Deaths

Journal of Data Science, 2021-04, Vol.19 (2), p.269-292

2021

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A nonhomogeneous Poisson process geostatistical model

Stochastic environmental research and risk assessment, 2017-02, Vol.31 (2), p.493-507

2017

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The inverse power Lindley distribution in the presence of left-censored data

Journal of applied statistics, 2018-08, Vol.45 (11), p.2081-2094

2018

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Using non-homogeneous Poisson models with multiple change-points to estimate the number of ozone exceedances in Mexico City

Environmetrics (London, Ont.), 2011-02, Vol.22 (1), p.1-12

2011

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Use of Lèvy distribution to analyze longitudinal data with asymmetric distribution and presence of left censored data

Communications for Statistical Applications and Methods, 2018-01, Vol.25 (1), p.43-60

2018

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MCMC Bayesian Estimation in FIEGARCH Models

Communications in statistics. Simulation and computation, 2016-10, Vol.45 (9), p.3238-3258

2016

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Linear and Non-Linear Regression Models Assuming a Stable Distribution

Revista Colombiana de estadística, 2016-01, Vol.39 (1), p.109-128

2016

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Generalized linear models with random effects in the two-parameter exponential family

Journal of statistical computation and simulation, 2014-03, Vol.84 (3), p.513-525

2014

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Some Dependence Models for the Time Between Ozone Exceedances in Mexico City

Environmental modeling & assessment, 2013-06, Vol.18 (3), p.259-270

2013

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Objective Priors for Estimation of Extended Exponential Geometric Distribution

Journal of modern applied statistical methods, 2014-11, Vol.13 (2), p.226-243

2014

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Using stochastic volatility models to analyse weekly ozone averages in Mexico City

Environmental and ecological statistics, 2011-06, Vol.18 (2), p.271-290

2011

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Robust Linear Regression Models: Use of a Stable Distribution for the Response Data

Open journal of statistics, 2013-12, Vol.3 (6), p.409-416

2013

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Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

1. Aufl., 2013

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Estimating the number of ozone peaks in Mexico City using a non-homogeneous Poisson model

Environmetrics (London, Ont.), 2008-08, Vol.19 (5), p.469-485

2008

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Non-Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions

Journal of environmental protection (Irvine, Calif.), 2012-10, Vol.3 (10), p.1336-1345

2012

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A new class of bivariate Lindley distributions based on stress and shock models and some of their reliability properties

A Stochastic Bayesian Artificial Intelligence Framework to Assess Climatological Water Balance under Missing Variables for Evapotranspiration Estimates

Bayesian Multi-Targets Strategy to Track Apis mellifera Movements at Colony Level

The Lindley distribution applied to competing risks lifetime data

Effects on Endothelin‐1 on Irisin Production By Myocytes Derived From C2C12 Cells

Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data

A Bayesian analysis for pseudo-compositional data with spatial structure

Bayesian analysis of the generalized gamma distribution using non-informative priors

Bayesian bivariate generalized Lindley model for survival data with a cure fraction

Mixture and nonmixture cure fraction models assuming discrete lifetimes: Application to a pelvic sarcoma dataset

Time Series Regression Models for COVID-19 Deaths

A nonhomogeneous Poisson process geostatistical model

The inverse power Lindley distribution in the presence of left-censored data

Using non-homogeneous Poisson models with multiple change-points to estimate the number of ozone exceedances in Mexico City

Use of Lèvy distribution to analyze longitudinal data with asymmetric distribution and presence of left censored data

MCMC Bayesian Estimation in FIEGARCH Models

Linear and Non-Linear Regression Models Assuming a Stable Distribution

Generalized linear models with random effects in the two-parameter exponential family

Some Dependence Models for the Time Between Ozone Exceedances in Mexico City

Objective Priors for Estimation of Extended Exponential Geometric Distribution

Using stochastic volatility models to analyse weekly ozone averages in Mexico City

Robust Linear Regression Models: Use of a Stable Distribution for the Response Data

Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

Estimating the number of ozone peaks in Mexico City using a non-homogeneous Poisson model

Non-Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions

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