MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02112nam a22003013a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
UPMIN-00005017250 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230210171748.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230210b |||||||| |||| 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 2010 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
A64 T47 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Teraza, Niomi T. |
| 9 (RLIN) |
2387 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Procrustes analysis of vocabulary flow graphs / |
| Statement of responsibility, etc. |
Niomi T. Teraza |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
2010 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
140 leaves |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2010 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
This study was conducted to determine the optional scan length in the vocabulary flor graphs. This was done through the comparison of the vocabulary flow graphs using different scan lengths though Procrustes Analysis in three textual data. Four scan lengths were used, namely: 100, 300, 500 and 1000. Using Procrustes Analysis, the vocabulary flow graphs formed from each scan lengths in each textual data were compared. Dissimilarity measures were obtained from the comparison of different scan lengths of the vocabulary flow graphs. Procrustes Statistic followed in order to test if the obtained dissimilarity measures were significant in each of the three-textual data. The end result is that all the dissimilarity measures from the comparison of scan lengths were all significant. This study had an implication in Guillermo?s translation analysis (2009) wherein he had only chosen scan length 300 as the optimal scan length among the four scan lengths. But based on the results of this study, it is still reasonable to believe that Guillermo had chosen scan length from 100, 300, 500 and 1000 were optimal values of scan lengths through the test for significance of the obtained dissimilarity measures in Procrustes statistics. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Dissimilarity measure |
| 9 (RLIN) |
2388 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Procrustes analysis |
| 9 (RLIN) |
1925 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Scan length |
| 9 (RLIN) |
2389 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Textual analysis |
| 9 (RLIN) |
2390 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Vocabulary flow graphs |
| 9 (RLIN) |
2391 |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
|---|
| Main curriculum objective |
Undergraduate Thesis |
| Curriculum code |
AMAT200, |
| Source of term or code |
BSAM |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| a |
UP |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| a |
Fi |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |
