Length Biased Weighted Quasi Gamma Distribution with Characterizations and Applications
Rashid A. Ganaie1, V. Rajagopalan2
1Rashid A. Ganaie*, Statistics, Annamalai University, Tamil Nadu, India.
2V. Rajagopalan, Statistics, Annamalai University, Tamil Nadu, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 24, 2020. | Manuscript published on March 10, 2020. | PP: 1110-1117 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2793039520/2020©BEIESP | DOI: 10.35940/ijitee.E2793.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We introduce length biased technique for weighted quasi gamma to change the known distribution into new model called as the length biased weighted quasi gamma distribution. Lastly the newly developed model has been investigated with an application.
Keywords: Reliability Measures, Quasi Gamma Distribution, Order Statistics, Likelihood Ratio test.
Scope of the Article: Network traffic characterization and measurements