2 edition of Multidimensional mathematical demography found in the catalog.
Multidimensional mathematical demography
College Park) Conference on Multidimensional Mathematical Demography (1981 : University of Maryland
|Statement||edited by Kenneth C. Land, Andrei Rogers.. --|
|Series||Studies in population, Studies in population|
|Contributions||Land, Kenneth C., Rogers, Andrei, National Science Foundation (U.S.)|
|The Physical Object|
|Pagination||xiii, 605 p. -- ;|
|Number of Pages||605|
MULTISTATE DEMOGRAPHYMultistate demography is the study of populations stratified by age, sex, and one or several attributes, such as region of residence, marital status, number of children, living arrangement, employment status, occupation, and health status. A population that is stratified is a multistate population, and people who occupy the same state constitute a subpopulation. Books of Note Keylitz: Mothemoticol Demogrophy Applied Mathematical Demography by Nathan Keyfitz John Wiley-lnterscience, , xxiv + pp. $ Reviewed by Joel E. Cohen From the origin of the species to , the human population of the earth increased by one billion for the first time. The human population of the earth.
Applications of mathematical demography to population projection and forecasting, kinship, microdemography, heterogeneity, and multi-state models are considered. The new edition maintains and extends the book’s focus on the consequences of changes in the vital rates. Lecturing Notes - DEMOGRAPHY 2 (including problems and solutions). Hansen, H.O. (). An AIDS model with reproduction - with an application based on data from Uganda. Mathematical Population Studies, , Vol. 8(2), pp. Hansen, H.O. (). Issues of population dynamics and heterogeneity in a demographic multistate model.
Downloadable (with restrictions)! The study of the transitions that individuals experience over time, in the course of passing from one state of existence to another, is a fundamental dimension in much of mathematical demography. Recent work in multistate demographic analysis has led to a generalization of traditional demographic techniques for analyzing such problems. If one accepts this two-stage perspective, there are implications for demographic research in general. The scientific study of population change should value both stages, and treat research in each of them as ‘core’ demography. A complete research programme on population change, however, cannot be limited to the macro or micro level by:
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Multidimensional Mathematical Demography is a collection of papers dealing with the problems of inaccurate or unavailable demographic data, transformation of data into probabilities, multidimensional population dynamic models, and the problems of heterogeneity.
Purchase Multidimensional Mathematical Demography - 1st Edition. Print Book & E-Book. ISBNBook Edition: 1. Multidimensional mathematical demography, an overview / Kenneth C. Land and Andrei Rogers --Multidimensional population analysis with incomplete data / Frans Willekens --Model schedules in multistate demographic analysis / Andrei Rogers and Luis J.
Castro --Multistate life table methodology / Jan M. Hoem and Ulla Funck Jensen --Statistical. Multidimensional mathematical demography: an overview 2. Multidimensional population analysis with incomplete data 3.
Model schedules and multistate demographic analysis: the case of migration 4. Multistate life table methodology: a probabilist critique 5. Statistical methods for Markov-generated increment-decrement life tables with polynomial Cited by: Description: Multidimensional Mathematical Demography is a collection of papers dealing with the problems of inaccurate or unavailable demographic data, transformation of data into probabilities, multidimensional population dynamic models, and the problems of heterogeneity.
The papers suggest a unified perspective with emphasis on data. Multidimensional mathematical demography: an overview 2. Multidimensional population analysis with incomplete data 3.
Model schedules and multistate demographic analysis: the case of migration 4. Multistate life table methodology: a probabilist critique 5. Statistical methods for Markov-generated increment-decrement life tables with polynomial 5/5(1).
Rent or buy Multidimensional Mathematical Demography - Note: Supplemental materials are not guaranteed with Multidimensional mathematical demography book or Used book purchases. Mathematical demography is a specialization in demography concerned with t he articulation, analysis, and empirical application of theoretical models or representations of.
Land, K. C., and R. Schoen. Statistical methods for Markov-generated increment-decrement life tables with polynomial gross flow functions.
In Multidimensional mathematical demography. Edited by K. Land and A. Rogers, – New York: Academic Press.
Google Scholar. Land KC & Rogers A (). Multidimensional Mathematical Demography: An Overview. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR Reprinted from Multidimensional Mathematical Demography, Kenneth C.
Land and Andrei Rogers (eds). Books shelved as demography: An Essay on the Principle of Population by Thomas Robert Malthus, A Concise History of World Population by Massimo Livi Bacc.
Find Population & Demography Textbooks at up to 90% off. Plus get free shipping on qualifying orders $25+. Choose from used and new textbooks or get instant access with eTextbooks and digital materials. survey of mathematical demography can be numerous and diverse.
Therefore, any survey of the field in the confines of a chapter must be selective. This chapter focuses on describing the elements of mathematical demography that are key foci in this field of study. The chapter is divided into eight major sections, including this introduction. The last is a textbook in demography, first published in and now (with co-authors) in its fourth edition.
EIKO STRADER, RESEARCH ASSISTANT: Eiko Strader is an assistant professor of Public Policy and Women's, Gender & Sexuality Studies at the George Washington University. Mathematical demography is the subfield of demography that is concerned with developing and refining measures and methods for studying population composition and change.
Historically, demographers used population level data to compute measures of the key components of population change: fertility, mortality, and : Scott M. Lynch, Kenneth C. Land, Yang Claire Yang, Zeng Yi. The development of multidimensional mathematical demography and its application to the analysis of such changes in life status as marriage, occupation, and migration is discussed.
"This article presents an overview of the methods and models specific to this new branch. Demography: historical perspective Demography is the study of human population dynamics.
Achille Guillard first used the title on his book: "Elements de Statistique Humaine ou Demographie Comparee". Two Greek roots: demos (people) graphy (branch of knowledge regarding a particular science in this case, human populations). book has enjoyed such a long, successful run without sub-stantive revisions.
By the mid s, however, a number of important methodological and technological advances in demography had occurred that rendered “M&M” out-of-date. These advances led to the commissioning of this revi-sion of the Condensed version, an endeavor for which. Almost universally, women with higher levels of education have fewer children.
Better education is associated with lower mortality, better health, and different migration patterns. Hence, the global population outlook depends greatly on further progress in education, particularly of young women.
Bythe highest and lowest education scenarios—assuming identical education-specific Cited by:. Mathematical Demography, Selected Papers, 2 nd Revised Edition is an updated version of the classic page text of the same name that has long been out of print.
At pages, the second revised edition is shorter, due in large part to the omission of contemporary papers that are now readily available on the internet.multidimensional matrix mathematics, which includes multidimensional matrix algebra and multidimensional matrix calculus.
These are new branches of math created by the author with numerous applications in engineering, math, natural science, social science, and other fields. multidimensional matrices can be simplified such that theFile Size: KB.I served as Chair of Sociology from January to August My main research interests are contemporary social trends and quality-of-life measurement, social problems, demography, criminology, organizations, and mathematical and statistical models and methods for the study of social and demographic processes.