JP Journal of Biostatistics

The JP Journal of Biostatistics is a highly regarded open-access international journal indexed in the Emerging Sources Citation Index (ESCI). It focuses on the application of statistical theory and methods in resolving problems in biological, biomedical, and agricultural sciences. The journal encourages the submission of experimental papers that employ relevant algorithms and also welcomes survey articles in the fields of biostatistics and epidemiology.

Submit Article

CHARACTERISTICS OF SRIMIN-H DISTRIBUTION AND ITS BIOMEDICAL APPLICATION

Authors

  • C. B. Praseeja
  • C. B. Prasanth
  • C. Subramanian
  • T. Unnikrishnan

Keywords:

Chris-Jerry distribution, length biased distribution, survival analysis, goodness of fit, estimation.

DOI:

https://doi.org/10.17654/0973514324005

Abstract

The current research attempts a new version of Chris-Jerry distribution, that is referred to as SRIMIN-H distribution. Its different structural properties have been discussed. The parameters of the proposed distribution are estimated by the method of maximum likelihood estimation. The distribution has been illustrated with real life medical data set to discuss its goodness of fit.

Received: August 23, 2023
Accepted: November 9, 2023

References

E. Sandhya and C. B. Prasanth, Marshall-Olkin discrete uniform distribution, Journal of Probability 14(10) (2013), 1-10.

E. Sandhya and C. B. Prasanth, A generalized geometric distribution, Proceedings of International Conference on Frontiers of Statistics and Application and 32nd Annual Conference of Indian Society for Probability and Statistics, Department of Statistics, Podichery University, 2012, pp. 261-269.

R. A. Fisher, The effects of methods of ascertainment upon the estimation of frequencies, Ann. Eugenics 6 (1934), 13-25.

C. R. Rao, On discrete distributions arising out of method of ascertainment, in classical and Contagious Discrete, G. P. Patiled, Pergamum Press and Statistical Publishing Society, Calcutta, 1965, pp. 320-332.

D. R. Cox, Renewal Theory, Barnes and Noble, New York, 1962.

M. V. Ratnaparkhi and U. V. Naik-Nimbalkar, The length-biased lognormal distribution and its application in the analysis of data from oil field exploration studies, Journal of Modern Applied Statistical Methods 11(1) (2012), 255-260.

B. N. Idowu, Ikegwu and M. Emmanuel, The beta-weighted Weibull distribution: Some properties and application to bladder cancer data, Journal of Applied and Computational Mathematics 2(5) (2013), 1-6.

doi:10.4172/2168-9679.1000145.

K. A. Mir, A. Ahmed and J. A. Reshi, Structural properties of length biased beta distribution of first kind, American Journal of Engineering Research (AJER) 2(2) (2013), 1-6.

K. A. Al-Kadim and N. A. Hussein, New proposed length-biased weighted exponential and Rayleigh distribution with application, Mathematical Theory and Modeling 4(7) (2014), 137-152.

A. Ayesha, Size biased Lindley distribution and its properties a special case of weighted distribution, Applied Mathematics 8(6) (2017), 808-819.

A. Saghir, A. Khadim and Z. Lin, The Maxwell length-biased distribution: Properties and estimation, Journal of Statistical Theory and Practice 11(1) (2017), 26-40.

S. Mudasir and S. P. Ahmad, Characterization and estimation of the length biased Nakagami distribution, Pak. J. Stat. Oper. Res. 14(3) (2018), 697-715.

C. B. Ampadu, The new size-biased Kumaraswamy-G distribution, Annals of Biostatistics and Biometric Applications 3(2) (2019), 1-3.

doi:10.33552/ABBA.2019.03.000557.

J. Mathew and C. Chesneau, Some new contributions on the Marshall-Olkin length biased Lomax distribution: Theory, modeling and data analysis, Mathematical and Computational Applications 25 (2020), 1-21.

doi:10.3390/mca25040079.

S. Chouia, H. Zeghdoudi, V. Raman and A. Beghriche, A new size biased distribution with application, Journal of Applied Probability and Statistics 16(1) (2021), 111-125.

A. I. Al-Omari and A. R. A. Alanzi, Inverse length biased Maxwell distribution: Statistical inference with an application, Computer Systems Science and Engineering 39(1) (2021), 147-164.

A. Mustafa and M. I. Khan, The length-biased power hazard rate distribution: Some properties and applications, Statistics in Transition New Series 23(2) (2022), 1-16.

C. K. Onyekwere and O. J. Obulezi, Chris-Jerry distribution and its applications, Asian Journal of Probability and Statistics 20(1) (2022), 16-30.

Published

2023-11-27

Issue

Section

Articles

How to Cite

CHARACTERISTICS OF SRIMIN-H DISTRIBUTION AND ITS BIOMEDICAL APPLICATION. (2023). JP Journal of Biostatistics, 24(1), 47-60. https://doi.org/10.17654/0973514324005

Similar Articles

1-10 of 69

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)