MARC details
| 000 -LEADER |
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| fixed length control field |
02768nam a22002893a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00004810113 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230201171258.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230201b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DCL |
| Transcribing agency |
UPMin |
| Modifying agency |
upmin |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG993.5 2010 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
A64 M35 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Mahinay, Kristine Karen C. |
| 9 (RLIN) |
2025 |
| 245 ## - TITLE STATEMENT |
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| Title |
Exploratory analysis on DPCoA on small data sets with missing values using imputation methods / |
| Statement of responsibility, etc. |
Kristine Karen C. Mahinay |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2010 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
64 leaves. |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2010 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
A new ordination method, DPCoA, allows comparison among several communities containing species that differ in taxonomic features. However, missing information in a data set are inevitable, and DPCoA does not have an internal method that can handle missing value in a data set. As an introductory and exploratory analysis, the study determined how the commonly used imputation methods, namely, mean imputation, k-nearest neighbor imputation, regression imputation, and expectation-maximization imputation, used as pre-processing step to DPCoA for incomplete abundance data sets affect the quadratic entropy and DPCoA plots of the sites studied. Also, different levels of degradation -1%, 5% and 15% - were investigated as to how well these imputation approaches behave when high amount of missing values are present in the data set. Rao DIVCs generated and DPCoA plots obtained from the complete data and the imputed data sets were compared using Spearman rank correlation and Procrustes analysis, respectively. Results showed that the imputation methods employed yield high Spearman correlation coefficients and correlation of Procrustes rotation when missing values are relatively small as they estimate close to the real value that was lost. Consequently, as greater amounts of missing values exist, a weaker performance of the imputation methods, especially that of the expectation-maximization imputation, cold be obtained. Although it is expected that expectation-maximization imputation yield good estimates, a lower Spearman coefficient and correlation of Procrustes rotation were computed. This would lead to higher risk of misinterpretation in the relationships of several communities. However, since this study is time-bound, it is suggested that this study be repeated several times to further evaluate the performance of the imputation methods. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Double principal coordinate analysis |
| 9 (RLIN) |
821 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Imputation |
| 9 (RLIN) |
2026 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Missing values |
| 9 (RLIN) |
990 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Rao diversity coefficient |
| 9 (RLIN) |
1926 |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
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| Main curriculum objective |
Undergraduate Thesis |
| Curriculum code |
AMAT200 |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
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| a |
Fi |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
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| a |
UP |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |
