Use this URL to cite or link to this record in EThOS:
Title: An elementary estimation of gamma parameters and the analysis of disdrometer data
Author: Brawn, Dan R.
ISNI:       0000 0003 5334 0335
Awarding Body: The University of Essex
Current Institution: University of Essex
Date of Award: 2009
Availability of Full Text:
Access from EThOS:
This thesis considers the problem of estimating the three parameters of a gamma distribution with grouped and truncated data. Sample sizes may be small and commonly subject to lower and perhaps upper truncation. A new simple, closed form, rehable. almost unbiased and low-variance method is developed. It is shown that the new 'hybrid' approach is a first order approximation to maximum like.hood with a constraint that incorporates a single sample moment ratio. Traditional moment methods require three distinct sample moments and typically give ised estimates. The operation of the hybrid method is discussed and extended to encompass the estimation of parameters for a Generalized Gamma mode.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available