Finite mixture models with applications to demography. (Record no. 550)

MARC details
000 -LEADER
fixed length control field 01916 a2200253 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220906184545.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190213b ||||| |||| 00| 0 eng d
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number THS-00083
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dias, Jose Goncalves.
9 (RLIN) 1715
245 ## - TITLE STATEMENT
Title Finite mixture models with applications to demography.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. c2001.
300 ## - PHYSICAL DESCRIPTION
Extent 61p.
500 ## - GENERAL NOTE
General note Thesis Report.
520 ## - SUMMARY, ETC.
Summary, etc. ABSTRACT: This thesis intends to be methodological. We propose a general framework to incorporate unobserved heterogeneity in the statistical analysis that can be easily applied in demographic research. Before introducing the finite mixture framework, we revise the maximum likelihood estimation in the homogeneous case. Then, we extend the heterogeneous case, assuming and unknown number of components in the finite mixture for independent observations. Furthermore, we extend this framework to accommodate dependent observations following a Markov chain (finite mixture of Markov chains). Finally, a model defined for static (cross-sectional) and dynamic (longitudinal) variables is proposed. These models were implemented in MATALAB5.3. The models defined are illustrated, using the data from Brazil Demographic and Health Survey (BDHS) 1996, focusing on women's attitudes towards family planning and contraceptive use dynamics. Individual respondents (women) were segmented based on different attitudes reported towards family planning and contraceptive use dynamics. Key words : Finite mixture models, Latent class analysis, Segmentation techniques, Markov models, Contraceptive use dynamics
546 ## - LANGUAGE NOTE
Language note Eng.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Finite mixture models.
9 (RLIN) 1787
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Latent class analysis.
9 (RLIN) 1788
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Segmentation techniques.
9 (RLIN) 1789
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Markov models.
9 (RLIN) 1790
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Contraceptive use dynamics.
9 (RLIN) 1791
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://nhrc.gov.np/contact/">http://nhrc.gov.np/contact/</a>
Link text Visit NHRC Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme National Library of Medicine
Koha item type Thesis Report
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    National Library of Medicine     Nepal Health Research Council Nepal Health Research Council 07/15/2012   THS-00083/DIA/2002 THS-00083 07/15/2012 07/15/2012 Thesis Report

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