MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01821nam a22002893a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00002323671 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230131165423.0 |
| 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 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG993.5 2008 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
A64 J84 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Jumawan, Krisna Ian Lou Pineda. |
| 9 (RLIN) |
1935 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Loan demand forecasting using compositional time series analysis / |
| Statement of responsibility, etc. |
Krisna Ian Lou Pineda Jumawan. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
2008 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
67 leaves. |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2008 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
This study focused on modeling the proportion of the different types of cooperative loan in order to forecast the frequency needed in each type of loan to address the demand of loans with their available limited resources. The data used in this study is a 7-year loan releases of six types, namely, regular loan, emergency loan, petty cash loan, credit line, micro-finance, and teachers and employees? salary loan starting from January 2000 to December 2006. In this study, compositional time series was employed specifically the used of additive log ratio for the transformation of the data and vector autoregressive process (VAR) as its standard time series technique. Accuracy of the predicted proportion of loans from the observed values are 91%, 48%, 83%, 97%, 96%, and 71% for regular loan, emergency loan, petty cash loan, credit line, micro-finance, and teachers and employees? salary loan respectively. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Additive log ratio. |
| 9 (RLIN) |
1936 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Compositional time series. |
| 9 (RLIN) |
1937 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Vector autoregressive process. |
| 9 (RLIN) |
1938 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Loan demand forecasting. |
| 9 (RLIN) |
1939 |
| 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 |
