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2. Robust Circular Logistic Regression Model and Its Application to Life and Social Sciences.
- Author
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CASTILLA, ELENA
- Subjects
LOGISTIC regression analysis ,REGRESSION analysis ,MONTE Carlo method ,MAXIMUM likelihood statistics - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
3. Likelihood-Based Inference for the Asymmetric Exponentiated Bimodal Normal Model.
- Author
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MARTÍNEZ-FLÓREZ, GUILLERMO, PACHECO-LÓPEZ, MARIO, and TOVAR-FALÓN, ROGER
- Subjects
MAXIMUM likelihood statistics ,SKEWNESS (Probability theory) ,STOCHASTIC convergence ,STOCHASTIC matrices ,KURTOSIS - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
4. Some Inferential Problems from Log Student's T-distribution and its Multivariate Extension.
- Author
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OLOSUNDE, AKINLOLU and OLOFINTUADE, SYLVESTER
- Subjects
MARGINAL distributions ,CUMULATIVE distribution function ,DISTRIBUTION (Probability theory) ,MAXIMUM likelihood statistics ,SKEWNESS (Probability theory) ,GOODNESS-of-fit tests - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
- Full Text
- View/download PDF
5. On the Alpha Power Kumaraswamy Distribution: Properties, Simulation and Application.
- Author
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AHMED, MOHAMED ALI
- Subjects
PARAMETER estimation ,ORDER statistics - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
- Full Text
- View/download PDF
6. Two Useful Discrete Distributions to Model Overdispersed Count Data.
- Author
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MAZUCHELI, JOSMAR, BERTOLI, WESLEY, and OLIVEIRA, RICARDO
- Subjects
CONTINUOUS distributions ,INFINITE series (Mathematics) ,MONTE Carlo method ,POISSON distribution ,DISCRETIZATION methods - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
- Full Text
- View/download PDF
7. Form-Invariance of the Non-Regular Exponential Family of Distributions.
- Author
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GHORBANPOUR, S., CHINIPARDAZ, R., and REZA ALAVI, SAYED MOHAMMAD
- Subjects
MATHEMATICAL symmetry ,MAXIMUM likelihood statistics ,FISHER information ,PROBABILITY density function ,RANDOM variables - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2018
- Full Text
- View/download PDF
8. On Reliability in a Multicomponent Stress-Strength Model with Power Lindley Distribution.
- Author
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PAK, ABBAS, GUPTA, ARJUN KUMAR, and KHOOLENJANI, NAYEREH BAGHERI
- Subjects
MECHANICAL stress analysis ,RELIABILITY in engineering ,MAXIMUM likelihood statistics ,CONFIDENCE intervals ,MARKOV chain Monte Carlo - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2018
- Full Text
- View/download PDF
9. Alpha-Skew Generalized t Distribution.
- Author
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ACITAS, SUKRU, SENOGLU, BIRDAL, and ARSLAN, OLCAY
- Subjects
SKEWNESS (Probability theory) ,KURTOSIS ,DISTRIBUTION (Probability theory) ,MAXIMUM likelihood statistics ,PROBABILITY density function - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2015
- Full Text
- View/download PDF
10. Maximum likelihood classification of soil remote sensing image based on deep learning.
- Author
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Shujun Liang, Jing Cheng, and Jianwei Zhang
- Subjects
- *
REMOTE sensing , *DEEP learning , *MAXIMUM likelihood statistics , *IMAGE denoising , *MACHINE learning - Abstract
Soil remote sensing image classification is the most difficult in the National Soil Census work. Current soil remote sensing image classification methods based on deep learning and maximum likelihood estimation are challenging to meet the actual needs. Therefore, this paper combines deep learning with maximum likelihood estimation and proposes a maximum likelihood classification method for soil remote sensing images based on deep learning. The method is divided into four parts. Firstly, the pretreatment of soil remote sensing image is carried out, including three processes: image gray, image denoising, and image correction; secondly, the target of soil remote sensing image is detected by deep learning algorithm; thirdly, the maximum likelihood algorithm is used to classify soil remote sensing image; finally, the classification performance is tested by an example. The results show that this method can effectively segment the remote sensing image of soil, and the segmentation accuracy is high, which proves the effectiveness and superiority of the method. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
11. The Beta-Gompertz Distribution.
- Author
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JAFARI, ALI AKBAR, TAHMASEBI, SAEID, and ALIZADEH, MORAD
- Subjects
GOMPERTZ functions (Mathematics) ,DISTRIBUTION (Probability theory) ,MAXIMUM likelihood statistics ,PARAMETER estimation ,CUMULATIVE distribution function - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2014
- Full Text
- View/download PDF
12. The Poisson-Lomax Distribution.
- Author
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AL-ZAHRANI, BANDER and SAGOR, HANAA
- Subjects
POISSON distribution ,MATHEMATICAL expansion ,DATA analysis ,PARAMETER estimation ,DENSITY functionals - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2014
- Full Text
- View/download PDF
13. The Type II Exponentiated Half Logistic-Marshall-Olkin-G Family of Distributions with Applications.
- Author
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OLUYEDE, BRODERICK and GABANAKGOSI, MORONGWA
- Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
14. The Gamma Odd Weibull Generalized-G Family of Distributions: Properties and Applications.
- Author
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OLUYEDE, BRODERICK and WARAHENA-LIYANAGE, GAYAN
- Subjects
MAXIMUM likelihood statistics ,RENYI'S entropy - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
15. The Exponentiated Kumaraswamy-G Class: General Properties and Application.
- Author
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SILVA, RONALDO, GOMES-SILVA, FRANK, RAMOS, MANOEL, CORDEIRO, GAUSS, MARINHO, PEDRO, and DE ANDRADE, THIAGO A. N.
- Subjects
WEIBULL distribution ,GENERATING functions ,RENYI'S entropy ,MAXIMUM likelihood statistics ,SET theory - Abstract
Copyright of Colombian Journal of Statistics / Revista Colombiana de Estadística is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
- Full Text
- View/download PDF
16. On the Alpha Power Kumaraswamy Distribution: Properties, Simulation and Application
- Author
-
Mohamed Ali Ahmed
- Subjects
Statistics and Probability ,Moments ,Distribution (number theory) ,La distribución de Kumaraswamy ,Maximum likelihood ,Mathematical properties ,Orders statistics ,Maximum likelihood estimation ,Estimación de máxima verosimilitud ,The Kumaraswamy distribution ,Transformación de potencia alfa ,Momentos ,Set (abstract data type) ,Kumaraswamy distribution ,Alpha power transformation ,Estadísticas de pedidos ,Applied mathematics ,Alpha power ,Mathematics - Abstract
Adding new parameters to classical distributions becomes one of the most important methods for increasing distributions flexibility, especially, in simulation studies and real data sets. In this paper, alpha power transformation (APT) is used and applied to the Kumaraswamy (K) distribution and a proposed distribution, so called the alpha power Kumaraswamy (AK) distribution, is presented. Some important mathematical properties are derived, parameters estimation of the AK distribution using maximum likelihood method is considered. A simulation study and a real data set are used to illustrate the flexibility of the AK distribution compared with other distributions. Resumen Agregar nuevos parámetros a las distribuciones clásicas se convierte en uno de los métodos más importantes para aumentar la flexibilidad de las distribuciones, especialmente en estudios de simulación y conjuntos de datos reales. En este documento, se utiliza la transformación de potencia alfa (TPA) y es aplicada a la distribución de Kumaraswamy (K) y a una distribución propuesta, denominada distribución de energía alfa de Kumaraswamy (AK). Se derivan algunas propiedades matemáticas, y se muestra la estimación de parámetros de la distribución AK utilizando el método de máxima verosimilitud. Un estudio de simulación y un conjunto de datos reales se utilizan para ilustrar la flexibilidad de la distribución AK en comparación con otras distribuciones.
- Published
- 2020
17. Clasificación de verosimilitud máxima de imágenes en teledetección del suelo con base en aprendizaje profundo automático
- Author
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Liang, Shujun, Cheng, Jing, and Zhang, Jianwei
- Subjects
Imagen de teledetección del suelo ,Método de clasificación ,Aprendizaje profundo ,Deep learning ,Classification method ,Maximum likelihood estimation ,Estimación de máxima verosimilitud ,Soil remote sensing image - Abstract
Soil remote sensing image classification is the most difficult in the National Soil Census work. Current soil remote sensing image classification methods based on deep learning and maximum likelihood estimation are challenging to meet the actual needs. Therefore, this paper combines deep learning with maximum likelihood estimation and proposes a maximum likelihood classification method for soil remote sensing images based on deep learning. The method is divided into four parts. Firstly, the pretreatment of soil remote sensing image is carried out, including three processes: image gray, image denoising, and image correction; secondly, the target of soil remote sensing image is detected by deep learning algorithm; thirdly, the maximum likelihood algorithm is used to classify soil remote sensing image; finally, the classification performance is tested by an example. The results show that this method can effectively segment the remote sensing image of soil, and the segmentation accuracy is high, which proves the effectiveness and superiority of the method. RESUMEN La clasificación de imágenes de detección remota de suelos es la más difícil en el trabajo del Censo Nacional de Suelos en China. Los métodos vigentes de clasificación de imágenes de teledetección del suelo basados en el aprendizaje profundo y la estimación de máxima probabilidad no satisfacen las necesidades actuales. Por lo tanto, este documento combina el aprendizaje profundo con la estimación de máxima verosimilitud y propone un método de clasificación para estas imágenes de teledetección. En primer lugar, se lleva a cabo el preprocesamiento de la imagen de teledetección del suelo, lo que incluye tres procesos: imagen gris, eliminación de ruido y corrección de imagen; en segundo lugar, el objetivo de la imagen del suelo se detecta mediante un algoritmo de aprendizaje profundo; tercero, el algoritmo de máxima verosimilitud se usa para clasificar la imagen de detección remota del suelo; y, finalmente, el rendimiento de la clasificación se prueba con un ejemplo. Los resultados muestran que este método puede segmentar efectivamente la imagen de detección remota del suelo, y la precisión de la segmentación es alta, lo que demuestra la efectividad y superioridad del método.
- Published
- 2021
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