MS (Master of Science)
Date of Award
Committee Chair or Co-Chairs
Anant P. Godbole
Robert M. Price Jr., Edith Seier
In this paper, we study a new family of random variables, that arise as the distribution of extrema of a random number N of independent and identically distributed random variables X1,X2, ..., XN, where each Xi has a common continuous distribution with support on [0,1]. The general scheme is first outlined, and SUG and CSUG models are introduced in detail where Xi is distributed as U[0,1]. Some features of the proposed distributions can be studied via its mean, variance, moments and moment-generating function. Moreover, we make some other choices for the continuous random variables such as Arcsine, Topp-Leone, and N is chosen to be Geometric or Zipf. Wherever appropriate, we estimate of the parameter in the one-parameter family in question and test the hypotheses about the parameter. In the last section, two permutation distributions are introduced and studied.
Thesis - unrestricted
Hao, Jie, "Some New Probability Distributions Based on Random Extrema and Permutation Patterns" (2014). Electronic Theses and Dissertations. Paper 2344. https://dc.etsu.edu/etd/2344
Copyright by the authors.