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International Journal of Quality and Reliability Management, ISSN 0265-671X, 04/2019, Volume 36, Issue 4, pp. 569 - 586
Purpose The purpose of this paper is to provide a new method to estimate the reliability of series system by using a discrete bivariate distribution. This... 
Dependent lifetimes | Basu–Dhar | Engineering | Reliability analysis | Series systems | Bayesian analysis | Bivariate analysis | Component reliability | System reliability | Complex systems | Datasets | Studies | Design engineering | Lifetime | Dependence | Random variables | Quality management
Journal Article
Statistical Methods in Medical Research, ISSN 0962-2802, 07/2019, p. 96228021986258
We proposed a Bayesian analysis of pseudo-compositional data in presence of a latent factor, assuming a spatial structure. This development was motivated by a... 
Journal Article
Journal of Statistical Theory and Practice, ISSN 1559-8608, 10/2018, Volume 12, Issue 4, pp. 688 - 703
In this article we introduce a new distribution, namely, the defective Dagum distribution (DDD). This improper distribution can be seen as an extension of the... 
censored data | 62N01 | survival analysis | Bayesian methods | defective distributions | Dagum distribution | Statistical Theory and Methods | Probability Theory and Stochastic Processes | Statistics, general | Statistics
Journal Article
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 07/2019, pp. 1 - 25
Journal Article
The International Journal of Quality & Reliability Management, ISSN 0265-671X, 07/2019, Volume 36, Issue 6, pp. 875 - 894
Purpose The traditional Shewhart control chart, the X-bar and R/S chart, cannot give support to decide when it is not economically feasible to stop the process... 
Economics | Capability indices | X-bar charts | Statistical analysis | Control limits | Decision making | Design modifications | Control charts | Random variables | Probability density functions | Quality management
Journal Article
Journal of the American Geriatrics Society, ISSN 0002-8614, 12/2015, Volume 63, Issue 12, pp. 2634 - 2635
Journal Article
Revista Colombiana de Estadística, ISSN 0120-1751, 01/2019, Volume 42, Issue 1, pp. 61 - 80
Copula functions have been extensively used in applied statistics, becoming a good alternative for modeling the dependence of multivariate data. Each copula... 
Applied statistics | Bivariate analysis | Mathematical models | Multivariate analysis | Bayesian analysis | Dependence
Journal Article
Journal of Statistical Theory and Practice, ISSN 1559-8608, 10/2018, Volume 12, Issue 4, pp. 886 - 911
Poisson and negative binomial distributions are frequently used to fit count data. A limitation of the Poisson distribution is that the mean and the variance... 
Maximum likelihood estimator | 62Fxx | double Poisson distribution count data | Bayes estimator | Markov-chain Monte Carlo (MCMC) | Statistical Theory and Methods | Probability Theory and Stochastic Processes | Statistics, general | Statistics
Journal Article
Ingeniare. Revista chilena de ingeniería, ISSN 0718-3305, 03/2019, Volume 27, Issue 1, pp. 151 - 163
The main goal of this work is related to a study of the maintenance of equipment in a food industry located in Säo Paulo state, Brazil, using statistical... 
Statistical analysis | Production engineering | Maintenance | Food processing industry | Machinery | Statistics | Repair & maintenance | Optimization | Statistical modelling
Journal Article
International Journal of Quality & Reliability Management, ISSN 0265-671X, 01/2015, Volume 32, Issue 6, pp. 617 - 634
Purpose - The purpose of this paper is to provide a new method to estimate the reliability of series system by using copula functions. This problem is of great... 
Asymptotic properties | Mathematical analysis | Inference | Mathematical models | System reliability | Assessments | Estimates | Bayesian analysis
Journal Article
Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 10/2016, Volume 45, Issue 9, pp. 3238 - 3258
Bayesian inference for fractionally integrated exponential generalized autoregressive conditional heteroscedastic (FIEGARCH) models using Markov chain Monte... 
MCMC | Long-range dependence | Bayesian inference | FIEGARCH processes | 62F15; 62M10 | 62M10 | AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY | GIBBS SAMPLER | LONG-MEMORY | STATISTICS & PROBABILITY | VOLATILITY | 62F15 | Bayesian analysis | Monte Carlo simulation | Monte Carlo methods | Innovation | Parameters | Computer simulation | Markets | Mathematical models | Statistical methods
Journal Article
Revista Colombiana de Estadística, ISSN 0120-1751, 07/2019, Volume 42, Issue 2, pp. 225 - 243
In this paper, we introduce a Bayesian approach for segmented Weibull distributions which could be a good alternative to analyze medical survival data in the... 
Journal Article
Statistical methods in medical research, 07/2019, p. 962280219862587
We proposed a Bayesian analysis of pseudo-compositional data in presence of a latent factor, assuming a spatial structure. This development was motivated by a... 
Journal Article
Cadernos de Saude Publica, ISSN 0102-311X, 2014, Volume 30, Issue 4, pp. 703 - 714
Journal Article
International Journal of Computational Intelligence Systems, ISSN 1875-6883, 05/2017, Volume 16, Issue 2, pp. 150 - 164
This paper presents estimates for the parameters included in long-term mixture and non-mixture lifetime models, applied to analyze survival data when some... 
Cure rate mixture model; Cure rate non-mixture model; Burr XII distribution
Journal Article
Model Assisted Statistics and Applications, ISSN 1574-1699, 07/2019, Volume 14, Issue 3, pp. 255 - 268
In this paper it is introduced a new two-parameter discrete distribution derived from the continuous Sushila distribution (Shanker et al., 2013). Its... 
Economic models | Parameter estimation | Computer simulation | Maximum likelihood estimators | Mathematical models | Estimating techniques | Regression analysis | Bayesian analysis
Journal Article
Computer Methods and Programs in Biomedicine, ISSN 0169-2607, 2011, Volume 104, Issue 2, pp. 188 - 192
Abstract Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of k ≥ 2 mutually... 
Internal Medicine | Other | Lindley distribution | Survival analysis | Exponential distribution | Competing risks models | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MEDICAL INFORMATICS | ENGINEERING, BIOMEDICAL | COMPUTER SCIENCE, THEORY & METHODS | MODEL | Models, Theoretical | Risk | Death | Data processing | Weibull distribution | Failure | Computer programs
Journal Article
Revista Colombiana de Estadistica, ISSN 0120-1751, 01/2016, Volume 39, Issue 1, pp. 109 - 128
Journal Article
Revista Colombiana de Estadistica, ISSN 0120-1751, 07/2019, Volume 42, Issue 2, p. 225
En este artículo introducimos un nuevo modelo Bayesiano para distribuciones Weibull segmentadas, que puede ser una buena alternativa en el análisis de datos... 
Intervals | Monte Carlo method | Computer simulation | Data sets | Markov chains | Statistical inference | Markov analysis | Weibull distribution | Bayesian analysis | Survival | Monte Carlo simulation
Journal Article
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