000 03058nas|a2200409 i 4500
005 20260818084541.0
008 251198s1989 th uzm rtt 00| a1eng d
035 _a.b10026307
099 9 _aAIT RSPR no. CS-89-1
100 1 _aNednin Luengwattanapong
245 1 2 _aA computer assisted system for extreme values frequency analysis
260 _aBangkok :
_bAsian Institute of Technology,
_c1989
300 _a53 p.
490 1 _aResearch studies project report ;
_vno. CS-89-1
500 _aA research study submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology
502 _aResearch Studies Project Report (M. Sc.) - Asian Institute of Technology, 1989
520 _aIn the present study, an attempt was made to investigate the frequency distribution of flood data at various stations located all over Thailand. For this purpose, three important distributions, namely the Gumbel or Extreme Value Type-I (EV1). the Generalized Extreme Value (GVE) and the Log-logistic (LLG), were considered by using the most appropriate methods of parameter estimation. To facilitate the analysis, a user-friendly software package was also developed. From the results obtained for 64 data sets, each having a length of at least 20 years of records, it was found that - the GEV can be used to fit the flood data in almost all cases, followed by the LLG. - for the GEV. the method of probability weighted moments (PWM) should be used since it is less biased and more efficient. - the PWM should also be used for the LLG because it is less biased. - the software package can conveniently be used as a tool for all the analyses involved. It is Expected that these that results and the package will be very useful further studies where a regional analysis is undertaken.
650 0 _aDistribution (Probability theory)
_xData processing
700 1 _aHuynh, Ngoc Phien,
_eChairperson
700 1 _aTabucanon, Mario T.,
_eExamination Committee
700 1 _aSkjesol, Trond,
_eExamination Committee
710 2 _aThe Australian Government
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. CS-89-1
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B17782
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