Discrete approximations of contagious empirical distributions / (Record no. 358)
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fixed length control field | 01795nam a2200241 4500 |
001 - CONTROL NUMBER | |
control field | UPMIN-00000009387 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | UPMIN |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230112133342.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230112b |||||||| |||| 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 2002 |
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) | A64 G35 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Galinato, Jose Armando V. |
9 (RLIN) | 1307 |
245 00 - TITLE STATEMENT | |
Title | Discrete approximations of contagious empirical distributions / |
Statement of responsibility, etc. | Jose Armando V. Galinato |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Date of publication, distribution, etc. | 2002 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 67 leaves |
502 ## - DISSERTATION NOTE | |
Dissertation note | Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2002 |
520 3# - SUMMARY, ETC. | |
Summary, etc. | The Miller and Rice Gaussian quadrature method, being known as the best discrete approximator of continuous distributions, was applied to contagious empirical distributions. This was done to further investigate its capabilities in approximating discrete distributions as well as its performance compared to some known discrete approximation methods namely, the means of equally likely intervals method and the interval-Miller and Rice method. Thirty-nine variations of contagious empirical distributions, each having one hundred replicates, were simulated based from the theoretical contaminated normal distribution. The evaluation of the performances of these methods was based on their accuracy (measured by the percentage errors) in estimating the moments, expected utility, and certainty equivalence. The results showed that the Miller and Rice method is still the best approximator compared to the other two methods. However, its accuracy greatly depended on the parameters of contagious empirical distributions namely the means, variances and relative assigned weights of the two densities |
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 |
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 |
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Library of Congress Classification | Not For Loan | Preservation Copy | University Library | University Library | Archives and Records | 2004-07-29 | donation | UAR-T-gd381 | LG993.5 2002 A64 G35 | 3UPML00020799 | 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 | 2004-09-10 | donation | CSM-T-gd1092 | LG993.5 2002 A64 G35 | 3UPML00011073 | 2022-09-21 | 2022-09-21 | Thesis |