Jitto Jose
@rajagiri.edu
Assistant Professor, Department of Statistics
Rajagiri College of Social Sciences
RESEARCH INTERESTS
Statistics and Applied Mathematics: Statistical Modelling-Multivariate and Univariate; Statistical Inference; Distribution Theory; Information Measures; Ordered Random Variables; Data Analysis; Multivariate Statistical Techniques; Integral Transformations.
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Saju Madavanakadu Devassy, Lorane Scaria, Jed Metzger, Kiran Thampi, Jitto Jose, and Binoy Joseph
Springer Science and Business Media LLC
AbstractEmerging technological tools like Artificial Intelligence-based Chatbots, digital educational alternatives and market-driven educational systems pose a challenge to the fundamental aim of the higher education system; comprehensive education for well-being. Therefore, this research aims to devise and evaluate strategies to impart new-age competencies to innovate socially and morally appropriate solutions in a modern competitive innovative society. The 8-month-long immersive learning framework (ILF), was designed based on the volatility, uncertainty, complexity, and ambiguity (VUCA) paradigm. The framework was evaluated with 133 newly joined postgraduate students doing their science or arts programmes from a higher education institution in Kerala, India. The outcome variables included well-being, depressive symptoms, personality patterns, and sub-domains of philosophy of human nature. The follow-up scores showed a significant improvement in well-being (Mean difference: 1.15, p = 0.005), trustworthiness (Mean difference: 14.74, p = 0.000), strength of will (Mean difference: 10.11, p = 0.000), altruism (Mean difference: 12.85, p = 0.000), and independence (Mean difference: 11.93, p = 0.000). Depression scores did not improve significantly. However, the intervention shielded them from the adjustment issues that often accompany any transition. The ILF framework can help students develop their personal and professional selves if it is implemented collaboratively in a reflective setting. It can also instil moral rectitude and a prosocial mindset.
Jitto Jose and E. I. Abdul Sathar
Springer Science and Business Media LLC
Jitto Jose and E. I. Abdul Sathar
Informa UK Limited
E. I. Abdul Sathar and Jitto Jose
Informa UK Limited
In this work, the residual extropy for measuring uncertainty involved in the remaining lifetime of a component has been investigated based on records. Some intriguing properties based on residual e...
Jitto Jose and E. I. Abdul Sathar
Elsevier BV
Jitto Jose and E. I. Abdul Sathar
Informa UK Limited
The characterizations of probability distributions allow the investigator to choose a suitable model from a handful of distributions for a data set in hand. The present study deals with Rényi entropy being treated as a function of the ordered random variable named k-records instead of the unordered random variable to derive some new characterizations of probability distributions. The characterization results are established based on upper k-records as well as lower k-records and uses both upper and lower k-records simultaneously in certain situations.
Jitto Jose and E. I. Abdul Sathar
Informa UK Limited
This study proposes a new test for testing the symmetry in the distribution of the data observed on a random variable. The test for symmetry has been constructed using a characterization result derived based on the extropy of k-records. The empirical density and critical values of the newly proposed test statistic have been obtained in this work. This study also analyses the performance of the test statistic based on the power values computed using Monte Carlo simulation methods and a comparison study with 10 competitor tests has been carried out. Moreover, the test procedure has been implemented on four real-life data sets to verify its performance in identifying the symmetric nature.
Jitto Jose and E. I. Abdul Sathar
Springer Science and Business Media LLC
P. Yageen Thomas and Jitto Jose
Springer Science and Business Media LLC
E. I. Abdul Sathar and Jitto Jose
Walter de Gruyter GmbH
AbstractRecently, A. S. Krishnan, S. M. Sunoj and N. U. Nair [Some reliability properties of extropy for residual and past lifetime random variables, J. Korean Stat. Soc. 2020, 10.1007/s42952-019-00023-x] introduced past extropy for measuring uncertainty contained in past lifetime of random variables. In the present study, we focus on the past extropy of k-records. The motivation for considering past extropy of k-records has been discussed in detail. We have also illustrated the merit of considering past extropy of k-records over past extropy of classical records and past extropy of original random sample using two real life data sets. Some important properties of past extropy of k-records are discussed in this work. We have expressed past extropy of k-records using past extropy of k-records arising from uniform distribution. The work proposes a simple estimator for past extropy of k-records as well.
Jitto Jose and E.I. Abdul Sathar
Elsevier BV