Dr V M Chacko

Recent Submissions

  • Unnipillai, Nayana; Anakha, K K; Aslam, Muhammad; Chacko, V. M.; Albassam, Mohammed (ResearchGate, 2022-02-14)
    There is a need to comprehend real-world problems that are marked by ambiguity and inflexibility. By taking into account the indeterminacies and inconsistencies, DUS transformation has been taken to Neutrosophic Weibull ...
  • Chacko, V. M.; Sania, Ann; Amrutha, M. (Statistics and Applications, 2023-12-14)
    In order to identify the vulnerable components whose joint effect would have changed system performance and ensure the required reliability of various multistate systems, joint importance measures of relevant components ...
  • Amrutha, M; Chacko, V. M (Statistics and Applications, 2024-03-30)
    Reliability analysis, including stress-strength analysis, for given data is more widely used in the reliability literature. A large number of new distributions are available, but many of them are not showing a good fit ...
  • Lukose, Ankitha; Chacko, V M (Enhance your English Vocabulary, 2023-12)
    This paper deals with the estimation of stress strength reliability parameter R, which is the probability of Y less than X when X and Y are two independent distribution with different scale parameter and same shape ...
  • Thomas, Beenu; Chacko, V. M. (ResearchGate, 2023-03)
    A strong need for an appropriate lifetime model arises in reliability analysis. A large number of lifetime distributions are available in the literature. To analyze reliability data, a more suitable lifetime distribution is ...
  • Varghese, Akhila K; Chacko, V. M. (Reliability: Theory & Applications, 2022-09)
    In this paper, we consider the estimation of the stress–strength parameter R = P[Y < X], when X and Y are following one-parameter Akash distributions with parameter �! and �" respectively. It is assumed that they are ...
  • Chacko, V M (Gnedenko Forum, 2021-12)
    The use of importance and joint importance measures to identify the weak areas of a system and signify the roles of components in either causing or contributing to proper functioning of the system, is explained by several ...
  • Chacko VM; Deepthi KS; Beenu Thomas; Rajitha C (Gnedenko Forum, 2018-12)
    The Lindley and Weibull are the two most commonly used distributions for analyzing lifetime data. These distributions have several desirable properties and nice physical interpretations. This paper introduces a new ...
  • Deepthi KS; Chacko VM (Gnedenko Forum, 2021-03)
    In this paper, increasing convex (concave)Total Time on Test (TTT) transform of a lifetime random variable is considered.In order to identify the failure rate model of functions of random variables, the TTT of transformed ...
  • Chacko VM; Beenu Thomas (Gnedenko Forum, 2020-09)
    Lifetime distributions for many components usually have a bathtub shape for its failure rate function in practice. However, there are a very few distribution have bathtub shaped failure rate function.Models with bathtub-shaped ...
  • Chacko VM; Gauthami P (Gnedenko Forum, 2021-06)
    A new upside-down bathtub shaped failure rate distribution, DUS Inverse Weibull (DUS-IW) distribution is proposed and its properties are studied. The DUS-IW distribution has upsidedown bathtub shaped and decreasing failure ...
  • Chacko, VM (Gnedenko Forum, 2018)
    Usually, systems and components are described as being in one of two modes, “on”or “off.” Such systems are described using binary structure functions. In multistatesystems (MSS), components can be in more than two states—for ...
  • Rajitha C; Chacko VM (Gnedenko Forum, 2019)
    In this paper we model an open queueing network of cardiac treatment section in medical sector. Assume arrival of patients follows Poisson and service times at stations have exponential distribution. The performance measures ...
  • Anakha KK; Chacko VM (Gnedenko Forum, 2020-03)
    In this paper, mixture of Exponential and Weibull distributions is considered for modelling real lifetime data. The basic mathematical properties including moments, generating functions, order statistics etc are derived. ...
  • Chacko, VM; Thomas, Beenu; Deepthi, KS (Gnedenko Forum, 2017-09)
    Most real life system exhibit bathtub shapes for their failure rate functions. Generalized Lindley, Generalized Gamma, Exponentiated Weibull and xExponential distributions are proposed for modeling lifetime data having ...
  • Chacko, VM; Manoharan, M (Operational Research Society of India, 2011-07-30)
    Importance and joint importance measures in reliability engineering are used to identify the weak areas of a system and signify the roles of components in either causing or contributing to proper functioning of the system. ...