Registered Data
Contents
- 1 [CT073]
- 1.1 [00174] On General Exponential Weight Functions and Variation Phenomenon
- 1.2 [01242] A NEW HYBRID APPROACH BASED ON PROBABILITY DISTRIBUTION AND AN IMPROVED MACHINE LEARNING FOR MULTIVARIATE RISK ASSESSMENT
- 1.3 [02225] On Fractional Lah-Bell Polynomials and Numbers
- 1.4 [01114] Modeling Covid-19 Cases and Vaccination Interplay through Time-Varying Copula Approach
- 1.5 [01667] Estimation of the Selected Entropy
[CT073]
[00174] On General Exponential Weight Functions and Variation Phenomenon
- Session Date & Time : 3C (Aug.23, 13:20-15:00)
- Type : Contributed Talk
- Abstract : General weighted exponential distributions including modified exponential ones are widely used with great ability in statistical applications, particularly in reliability. In this paper, we investigate full exponential weight functions and their extensions from any nonnegative continuous reference weighted distribution. Several properties and their connections with the recent variation phenomenon are then established. In particular, characterizations, weightening operations and dual distributions are set forward. Illustrative examples and concluding remarks are extensively discussed.
- Classification : 60E05, 62E10, 62E15
- Author(s) :
- Rahma Abid (postdoc)
[01242] A NEW HYBRID APPROACH BASED ON PROBABILITY DISTRIBUTION AND AN IMPROVED MACHINE LEARNING FOR MULTIVARIATE RISK ASSESSMENT
- Session Date & Time : 3C (Aug.23, 13:20-15:00)
- Type : Industrial Contributed Talk
- Abstract : Blast furnace iron making process is an extremely complex reactor. It has potential hazards like carbon monoxide, wide variety of chemical reactions, re, high pressure and explosion, noise, split and fall, hot metal sparks, emission of air contaminants like particulate matter, hit etc. To do work safely, organization must take the required measures to manage the risks and their e ects. The approach for risk assessment discussed in this paper aims to increase blast furnace safety performance and prevent workers from accidents. This approch uses probability distribution and an improved machine learning techniques such as Radial basis function arti cial neural networks (RBANN). The novelty here is to calculate a multivariate risk using a proposed method namely Exponential smoothing combined with radial basis function arti cial neural networks (ES-RBANN). To identify their limits, a comparative study between conventional and proposed techniques is presented, where the obtained results are validated on real data from the steel processes ArcelorMittal-Annaba-Algeria.
- Classification : 60E05, 60G25, 62H05, 65C20, 93C35, Blast Furnace; Risk Assessment and Safety; Failure model effect analysis; Data driven techniques; Probability Distribution
- Author(s) :
- Abdelhakim Azzedine (Mathematical Modeling and Numerical Simulation Lab,Badji Mokhtar University-Annaba)
- Salah Bouhouche (Research Center of Industrial technology-Algiers)
- Fatma Zohra Nouri (Mathematical Modeling and Numerical Simulation Lab,Badji Mokhtar University-Annaba)
[02225] On Fractional Lah-Bell Polynomials and Numbers
- Session Date & Time : 3C (Aug.23, 13:20-15:00)
- Type : Contributed Talk
- Abstract : In this talk, we will present a fractional generalization of the Lah-Bell polynomials and the Lah numbers associated to the fractional Poisson probability distribution. We derive the exponential generating functions in terms of the Mittag-Leffler function along with some convolution identities. These identities are the natural extension of several well-known identities available in literature. Finally, applications to compound Poisson process, Mittag-Leffler function, and the Laguerre polynomials are also presented.
- Classification : 60E05, 05A19, 26A33, 11C08, 05A17
- Author(s) :
- Ritik Soni (Central University of Punjab)
- Ashok Kumar Pathak (Central University of Punjab)
[01114] Modeling Covid-19 Cases and Vaccination Interplay through Time-Varying Copula Approach
- Session Date & Time : 3C (Aug.23, 13:20-15:00)
- Type : Contributed Talk
- Abstract : Currently, the Indonesian government has made various efforts to reduce the number of Covid-19 cases, one of which is through administering vaccines. This study aims to model the interplay between the number of Covid-19 cases and the number of citizens who have been vaccinated, especially in term of the temporal relationship, using the time-varying copula approach.
- Classification : 60Exx, 62Hxx, 62Pxx, Multivariate Modeling, Copula Modeling
- Author(s) :
- Atina Ahdika (Universitas Islam Indonesia)
[01667] Estimation of the Selected Entropy
- Session Date & Time : 3C (Aug.23, 13:20-15:00)
- Type : Industrial Contributed Talk
- Abstract : In this talk, I will discuss the problem of estimating the Shannon entropy of selected population. We first consider a class of naive estimators comprising linear, scale and permutation equivariant estimators and identify optimum estimators within this class. The class of naive estimators considered by us contains three natural plug-in estimators. To further improve upon the optimum naive estimators, we consider a general class of equivariant estimators and obtain dominating shrinkage estimators. A real data analysis is also reported to illustrate the applicability of proposed estimators.
- Classification : 62Cxx, 94Axx
- Author(s) :
- Masihuddin . (INDIAN INSTITUTE OF TECHNOLOGY KANPUR)
- Masihuddin . (INDIAN INSTITUTE OF TECHNOLOGY KANPUR)
- Neeraj Misra (INDIAN INSTITUTE OF TECHNOLOGY KANPUR)