Search Results - "E, Sreedevi"

Refine Results
  1. 1

    Defective regression models for cure rate data with competing risks by Silpa, K., Sreedevi, E. P., Sankaran, P. G.

    Published in Journal of biopharmaceutical statistics (14-11-2024)
    “…In this paper, we propose a novel method for the analysis of cure rate data with competing risks using defective distributions. We develop two defective…”
    Get full text
    Journal Article
  2. 2

    A Generalized Measure of Cumulative Residual Entropy by Kattumannil, Sudheesh Kumar, Sreedevi, E P, Balakrishnan, Narayanaswamy

    Published in Entropy (Basel, Switzerland) (23-03-2022)
    “…In this work, we introduce a generalized measure of cumulative residual entropy and study its properties. We show that several existing measures of entropy,…”
    Get full text
    Journal Article
  3. 3
  4. 4

    On approximation and estimation of distribution function of sum of independent random variables by Midhu, N. N., Dewan, Isha, Sudheesh, K. K., Sreedevi, E. P.

    Published in Statistical papers (Berlin, Germany) (01-05-2024)
    “…In this paper, we obtain an approximation for the distribution function of sum of two independent random variables using quantile based representation. The…”
    Get full text
    Journal Article
  5. 5

    Nonparametric inference for panel count data with competing risks by Sreedevi, E. P., Sankaran, P. G.

    Published in Journal of applied statistics (10-12-2021)
    “…In survival and reliability studies, panel count data arise when we investigate a recurrent event process and each study subject is observed only at discrete…”
    Get full text
    Journal Article
  6. 6

    Dynamic cumulative residual entropy generating function and its properties by Smitha, S., Kattumannil, Sudheesh K., Sreedevi, E.P.

    “…In this work, we study the properties of the cumulative residual entropy generating function (CREGF). We also discuss the non parametric estimation of CREGF…”
    Get full text
    Journal Article
  7. 7

    A proportional hazards model for the analysis of doubly censored competing risks data by Sankaran, P. G., Sreedevi, E. P.

    “…Competing risks data are common in medical research in which lifetime of individuals can be classified in terms of causes of failure. In survival or…”
    Get full text
    Journal Article
  8. 8

    A martingale-based test for independence of time to failure and cause of failure for competing risks models by Sankaran, P. G., Dewan, Isha, Sreedevi, E. P.

    “…In this article, we introduce a class of tests, using a martingale approach, for testing independence of failure time and cause of failure for competing risks…”
    Get full text
    Journal Article
  9. 9

    A Semiparametric Bayesian Approach for the Analysis of Competing Risks Data by Sreedevi, E. P., Sankaran, P. G.

    “…In survival studies, the failure (death) of an individual may be classified into one of k (k > 1) mutually exclusive classes, usually causes of failure…”
    Get full text
    Journal Article
  10. 10

    A quantile based test for comparing cumulative incidence functions of competing risks models by Sankaran, P.G., Unnikrishnan Nair, N., Sreedevi, E.P.

    Published in Statistics & probability letters (01-05-2010)
    “…In the present note, we develop a nonparametric testing procedure for testing equality of cumulative incidence functions of competing risks models using…”
    Get full text
    Journal Article
  11. 11
  12. 12

    Energy-Efficient Communication Protocols for IoT Devices by Rahamathunnisa, U., Vivekanand, Chettiyar Vani, T, Chithras, E, Sreedevi, Kiran, Venneti, M, Rajendiran

    “…The development and optimisation of energy-efficient communication protocols that are specifically adapted for Internet of Things (IoT) devices is the focus of…”
    Get full text
    Conference Proceeding
  13. 13

    Advanced prediction of Heart diseases using Artificial Neural Network and Genetic Algorithm by Savarapu, Pradeep Raj, Shankar, M., Itnal, Shilpa, Madupu, Ram Kumar, Basha, CMAK Zeelan, Sreedevi, E.

    “…As per the statistics stated in the year 2019 by WHO (World Health Organization), about 70% of deaths among the people aged above 40 years is due to heart…”
    Get full text
    Conference Proceeding
  14. 14

    Contemplate on Internet of Things Transforming as Medical Devices - The Internet of Medical Things (IOMT) by PremaLatha, V., Sreedevi, E., Sivakumar, S.

    “…IoT devices provide efficient usage of technology and better innovation to ecosystem in healthcare. The Largest industries of all being HealthCare, IoT is…”
    Get full text
    Conference Proceeding
  15. 15

    A Comparative Study on New Classification Algorithm using NASA MDP Datasets for Software Defect Detection by Sreedevi, E, PremaLatha, V., Sivakumar, S., Nayak, Soumya Ranjan

    “…Software Defect (SD) prediction motivates as basic position in upgrading software program and also it helps for software testing in reducing time as well as…”
    Get full text
    Conference Proceeding
  16. 16

    Evaluation of three medicinal plants for anti-microbial activity by Pratap Gowd, M. J. S, Manoj Kumar, M, Sai Shankar, A, Sujatha, B, Sreedevi, E

    Published in Ayu (01-07-2012)
    “…Herbal remedies have a long history of use for gum and tooth problems such as dental caries. The present microbiological study was carried out to evaluate the…”
    Get full text
    Journal Article
  17. 17

    Semiparametric regression analysis of doubly censored recurrent event data by Sankaran, P. G., Hari, S., Sreedevi, E. P.

    “…Recurrent event data are common in survival and reliability studies, where a subject experiences the same type of event repeatedly. There are situations, in…”
    Get full text
    Journal Article
  18. 18

    Non-parametric estimation of cumulative (residual) extropy by Kattumannil, Sudheesh K., E.P., Sreedevi

    Published in Statistics & probability letters (01-06-2022)
    “…We obtain simple estimators of cumulative (residual) extropy for complete and right censored data and study their properties. A Monte Carlo simulation study is…”
    Get full text
    Journal Article
  19. 19

    A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data by Sreedevi, E. P., Kattumannil, Sudheesh K., Dewan, Isha

    Published in Statistics (Berlin, DDR) (03-09-2021)
    “…Competing risks data with discrete lifetime come up in practice. However, only limited literature exists for such data. In this paper, we propose a…”
    Get full text
    Journal Article
  20. 20