Date of Award:
5-1982
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Department name when degree awarded
Applied Statistics
Committee Chair(s)
Ronald V. Canfield
Committee
Ronald V. Canfield
Abstract
The estimation of the Pareto distribution can be computationally expensive and the method is badly biased. In this work, an improved Least Squares derivation is used and the estimation will be less biased. Numerical examples and figures are provided so that one may observe the solution more clearly. Furthermore, by varying the different methods of estimation, a comparing of the estimators of the parameters is given. The improved Least Squares derivation is confidently employed for it is economic and efficient.
Checksum
dbfcb24809383c8486bb55084f46b6f5
Recommended Citation
Chien, Ching-hua, "Least Squares Estimation of the Pareto Type I and II Distribution" (1982). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 6941.
https://digitalcommons.usu.edu/etd/6941
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