Determining appropriate probability distribution models for rainfall observations at Davao International Airport synoptic station / (Record no. 164)

MARC details
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fixed length control field 02478nam a2200229 4500
001 - CONTROL NUMBER
control field UPMIN-00000009085
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230131171924.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230131b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency UPMin
Modifying agency upmin
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2003
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 L38
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Laurilla, Francisco L. Jr.
9 (RLIN) 1959
245 00 - TITLE STATEMENT
Title Determining appropriate probability distribution models for rainfall observations at Davao International Airport synoptic station /
Statement of responsibility, etc. Francisco L. Laurilla, Jr.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2003
300 ## - PHYSICAL DESCRIPTION
Extent 82 leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2003
520 3# - SUMMARY, ETC.
Summary, etc. Dependable rainfall is important for the estimation of the irrigation diversion requirement. The common approach that engineers have been doing to estimate dependable rainfall is to assume normality in the variables being analyzed, thus making use of the Normal distribution to approximate values of rainfall at the exceedance of 80%. Normal distribution, however, is not necessarily representative of all rainfall data. And to give alternative to the use of this model, this study was proposed to fit other distribution models that significantly describe the probability distribution of rainfall data specifically the monthly rainfall totals, daily rainfall totals and daily maximum intensifies recorded at Davao International Airport Sypnoptic Station in Sasa, Davao City. The parameters of the fitted distribution models were estimated using method of moments (MOM) and method of maximum likelihood (MML). Chi-square (CS) and Kolmogorov-smirnov (KS) tests were employed in determining the goodness-of-fit of the fitted models. According to the evaluation of Cs test, Beta (MML), Gamma (MOM and MML), Gamma (3P) (MML), Log Gamma (MML), Gumbel for maxima (MML), Weibull for minima (MOM and MML) and Weibull for minima (3P) (MML) were found to be the best-fitting models for monthly rainfall totals. Aside from these models, KS also found Rayleigh (MOM) as best fitting model for this data. On the other hand, Gamma (MOM) and Weibull (MOM) were found to be the best-fitting models for daily rainfall totals according to CS test. For maximum intensifies, Gamma (MOM) was found to be best-fitting model according to CS test. Furthermore, it was shown that Normal distribution did not fit any rainfall data utilized in this study.
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis
Curriculum code AMAT200
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a Fi
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a UP
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification   Not For Loan Room-Use Only University Library University Library Archives and Records 2003-06-05 donation UAR-T-gd263   LG993.5 2003 A64 L38 3UPML00020968 2022-09-21 2022-09-21 Thesis
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2003-05-21 donation CSM-T-gd512   LG993.5 2003 A64 L38 3UPML00010396 2022-09-21 2022-09-21 Thesis
 
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