Siquijor population projection: 1985- 2000 an application of the Leslie matrix model
The Leslie matrix model uses matrices in projecting the population at any future time. The basic system involved is that an arbitrary age distribution may be operated on by a square matrix, under given conditions, of which the first row essentially represents the age-specific fertility while the pri...
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oai:animorepository.dlsu.edu.ph:etd_bachelors-165012022-01-26T00:12:26Z Siquijor population projection: 1985- 2000 an application of the Leslie matrix model Arbolente, Shirley Rowena L. Guevarra, Ma. Elva O. The Leslie matrix model uses matrices in projecting the population at any future time. The basic system involved is that an arbitrary age distribution may be operated on by a square matrix, under given conditions, of which the first row essentially represents the age-specific fertility while the principal subdiagonal is a measure of survivorship. All other elements of the basic matrix are zeroes. By repeated post multipliation by this matrix, one can calculate the population size and age distribution in the future from an existing one. On this study, the authors are concerned with presenting the theory as well as applying the concepts in the island-province of Siquijor. Values are computed through a BASIC computer program which includes the only real and positive eigenvalue 1 that corresponds to the finite rate of increase and its eigenvector that represents the stable age distribution. The study yields the conclusion that the population of Siquijor is young and that this will remain to be so for subsequent years. Hence program planners should give more attention to this particular group of the populace. 1985-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/15988 Bachelor's Theses English Animo Repository Population forecasting--Mathematical models Siquijor (Province) Matrices Population projections |
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Population forecasting--Mathematical models Siquijor (Province) Matrices Population projections |
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Population forecasting--Mathematical models Siquijor (Province) Matrices Population projections Arbolente, Shirley Rowena L. Guevarra, Ma. Elva O. Siquijor population projection: 1985- 2000 an application of the Leslie matrix model |
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The Leslie matrix model uses matrices in projecting the population at any future time. The basic system involved is that an arbitrary age distribution may be operated on by a square matrix, under given conditions, of which the first row essentially represents the age-specific fertility while the principal subdiagonal is a measure of survivorship. All other elements of the basic matrix are zeroes. By repeated post multipliation by this matrix, one can calculate the population size and age distribution in the future from an existing one. On this study, the authors are concerned with presenting the theory as well as applying the concepts in the island-province of Siquijor. Values are computed through a BASIC computer program which includes the only real and positive eigenvalue 1 that corresponds to the finite rate of increase and its eigenvector that represents the stable age distribution. The study yields the conclusion that the population of Siquijor is young and that this will remain to be so for subsequent years. Hence program planners should give more attention to this particular group of the populace. |
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text |
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Arbolente, Shirley Rowena L. Guevarra, Ma. Elva O. |
author_facet |
Arbolente, Shirley Rowena L. Guevarra, Ma. Elva O. |
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Arbolente, Shirley Rowena L. |
title |
Siquijor population projection: 1985- 2000 an application of the Leslie matrix model |
title_short |
Siquijor population projection: 1985- 2000 an application of the Leslie matrix model |
title_full |
Siquijor population projection: 1985- 2000 an application of the Leslie matrix model |
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Siquijor population projection: 1985- 2000 an application of the Leslie matrix model |
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Siquijor population projection: 1985- 2000 an application of the Leslie matrix model |
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siquijor population projection: 1985- 2000 an application of the leslie matrix model |
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Animo Repository |
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1985 |
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