Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Least-Square Approximation for Population Projection in Dhaka City
Details
Dhaka, one of the South Asian megacities is facing incredible problems associated with population. Rural to urban migration remained the most dominant factor of the population growth. This book addresses only the increasing population of Dhaka city in future decade. Predicting future populations and their structure is a central theme in demography. This book therefore provides a better idea about the increasing population of Dhaka city based on a population model which is a first order ordinary differential equation known as Malthusian Population model or Exponential growth model, where the growth rate are modeled as a linear function of time and also what will be the future population of Dhaka city .We project the future population of Dhaka city for the next several years with the help of least square growth rate profile which is used to compute estimations of parameters and to fit data. It is found from the study that the least square growth rate procedure gives most accurate approximation.
Autorentext
Masuma Parvin completed her B.Sc and M.Sc in Mathematics from Jahangirnagar University, Bangladesh.At present she is working as Lecturer, Dept. of Software Engineering at Daffodil International University, Bangladesh. Her research interest covers on Partial differential equation.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783847374671
- Sprache Englisch
- Auflage Aufl.
- Größe H220mm x B150mm x T7mm
- Jahr 2012
- EAN 9783847374671
- Format Kartonierter Einband (Kt)
- ISBN 978-3-8473-7467-1
- Titel Least-Square Approximation for Population Projection in Dhaka City
- Autor Masuma Parvin
- Untertitel Most systematic procedure to fit a unique curve
- Gewicht 185g
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 112
- Genre Mathematik