Cite

[1] W. G. Warren. “Statistical Distributions in Forestry and Forest Products Research”, A Modern Course on Statistical Distributions in Scientific Work, 369-384.10.1007/978-94-010-1845-6_27 Search in Google Scholar

[2] A. Hassan, S. A. Dar and B. A. Para. “A New Generalization of Ishita Distribution: Properties and Applications”, Journal of Applied Probability and Statistics, 13(1), 2019. Search in Google Scholar

[3] A. Hassan, S. A. Wani and B. A. Para. “On three Parameter Weighted Quasi Lindley Distribution: Properties and Applications”, International Journal of Scientific Research in Mathematical and Statistical Sciences, 5(5), 210-224, 2018.10.26438/ijsrmss/v5i5.210224 Search in Google Scholar

[4] K. K. Das and T. B. Roy. “Applicability of Length Biased Weighted Generalized Rayleigh Distribution”, Advances in Applied Science Research, 2(4), 320-327, 2011. Search in Google Scholar

[5] G. P. Patil and C. R. Rao. “Weighted Distributions and Size Biased Sampling with Applications to Wild Life Populations and Human Families”, Biometric, 34, 179-189, 1978.10.2307/2530008 Search in Google Scholar

[6] A. Hassan, S. A. Wani and S. Shafi. “Poisson Pranav Distribution and its Applications”, Pak. J. Statist, 36(1), 57-72, 2020. Search in Google Scholar

[7] S. Rezaeia, S. Nadarajah and N. Tahghighnia. “A New three Parameter Lifetime Distribution”, J Theor App Statist, 47(4), 835-860, 2013.10.1080/02331888.2011.627587 Search in Google Scholar

[8] A. Hassan, S. A. Wani, B. A. Sheikh and N. Akhtar. “A New Generalized Quasi Xgamma Distribution Applicable to Survival Times”, Journal of Xi’an University of Architecture and Technology, XII(IV), 3720-3736, 2020. Search in Google Scholar

[9] A. Hassan, S. A. Wani, S. Shafi and B. A. Sheikh. “Lindley-Quasi Xgamma Distribution: Properties and Applications”, Pak. J. Statist, 36(1), 73-89, 2020. Search in Google Scholar

[10] M. G. Badar and A. M. Priest. “Statistical aspects of fiber and bundle strength in hybrid composites”, Progress in Science and Engineering Composites, Tokyo, ICCM-IV, 1129-1136, 1982. Search in Google Scholar

[11] R. L. Smith and J. C. Naylor. “A comparison of maximum likelihood and Bayesian estimators for three-parameter weibull distribution”, Applied Stat., 36, 358-369, 1987.10.2307/2347795 Search in Google Scholar

[12] S. Mudasir and S. P. Ahmad. “Structural Properties of Length Biased Nakagami Distribution”, International journal of Modern Mathematical Sciences, 13(3), 217-227, 2015. Search in Google Scholar

[13] R Core Team. R version 3.5.3, “A language and environment for statistical computing. R Foundation for Statistical Computing”, Vienna, Austria, 2019, URL https://www.R-project.org/. Search in Google Scholar

eISSN:
1339-0015
Language:
English