Estimating the water quality parameters of Davao river station 6 - A time series regression approach / (Record no. 471)

MARC details
000 -LEADER
fixed length control field 01798nam a2200241 4500
001 - CONTROL NUMBER
control field UPMIN-00000010168
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230131162004.0
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
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2005
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 J55
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jinayon, Daisy C.
9 (RLIN) 1933
245 00 - TITLE STATEMENT
Title Estimating the water quality parameters of Davao river station 6 - A time series regression approach /
Statement of responsibility, etc. Daisy C. Jinayon
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2005
300 ## - PHYSICAL DESCRIPTION
Extent 65 leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2005
520 3# - SUMMARY, ETC.
Summary, etc. Time series regression model was developed representing each of the water quality parameters of the Davao River Station 6 namely the temperature, pH, dissolved oxygen, biochemical oxygen demand and total dissolved solids using the quarterly data obtained from the Environment Management Bureau (EMB). Of Region XI. The model estimated the values of the water quality parameters of Davao River Station 7 as the independent variable. Each of the water quality parameters passed the stationarity test using the time series plot and the correlogram test (that is through computing the autocorrelation function (ACF) and the partial autocorrelation function (PACF). Using the model obtained, the one period ahead forecast was done in each of the water quality parameters of Station 6 except for the settleable matter, total solids, and total suspended solids. The models can serve as guide in making plans of action to protect the water quality of Station 6 from potential contamination, which I mainly caused by the parameter values of Station 7 and 8.
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 Preservation Copy University Library University Library Archives and Records 2005-07-05 donation UAR-T-gd590   LG993.5 2005 A64 J55 3UPML00022037 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 2005-05-24 donation CSM-T-gd1243   LG993.5 2005 A64 J55 3UPML00011343 2022-09-21 2022-09-21 Thesis
 
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