Effect of sample sizes of monthly runoff records on the first-order serial correlation coefficient

AuthorChalermchai Ratnarak
Call NumberAIT Thesis no. 333
Subject(s)Runoff--Thailand--Statistical methods
NoteA thesis submitted in partial fulfillments of the requirements for the degree of Master of Engineering at the Asian Institute of Technology, Bangkok, Thailand.
PublisherAsian Institute of Technology
AbstractThe monthly runoff records of nineteen gaging stations were made to be stationary by means of standardization, which is obtained by deducting the monthly long term mean from each monthly value, and de viding the result by the long term standard deviation of that month. The standardized time series follows the Markov first order process, The expectation of the first serial correlation coefficient, E(r1), of the standardized time series increases when the recorded length was made longer, where Var (r1) and Cv(r1) decrease. The distribution of the first serial correlation coefficient of monthly runoff can be described by the equation of MADOW and LEIPNIK
Year1970
TypeThesis
SchoolStudent Research Before 1980
DepartmentOther Field of Studies (No Department)
Academic Program/FoSThesis (Year <=1979)
Chairperson(s)Subin Pinkayan
DegreeThesis (M. Eng.) - Asian Institute of Technology, 1970


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