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
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 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
 
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