4 edition of **Computational methods for population projections** found in the catalog.

- 107 Want to read
- 10 Currently reading

Published
**1974** by Population Council, distributed by Key Book Service in New York, Bridgeport, Conn .

Written in English

- Population forecasting -- Data processing.

**Edition Notes**

Includes bibliographical references.

Statement | Frederic C. Shorter, with programming assistance from David Pasta. |

Contributions | Pasta, David. |

Classifications | |
---|---|

LC Classifications | HB885 .S54 |

The Physical Object | |

Pagination | vii, 151 p. : |

Number of Pages | 151 |

ID Numbers | |

Open Library | OL5071048M |

ISBN 10 | 0878340211 |

LC Control Number | 74080261 |

Population projections are methods that make estimations for past and future by using the data of censuses and surveys, and are applied by relevant official and non-official institutions. The most comprehensive projections have been presented by The United Nations since , up to now. But nowadays, regional projections are a lot more needed. World Bank projections generally are used for planning and for managing projects, while IIASA projections have been used primarily to assess various projection assumptions and methods. Each of these international organizations uses slightly different methodologies, makes varying assumptions about future demographic trends, and begins with. I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics,computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge. Computational Statistics by James E. Gentle. Publisher: Springer ISBN/ASIN: ISBN Number of pages: Description: This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

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Computational Methods for Population Projections: With Particular Reference to Development Planning [Frederic Claiborne Shorter, Robert Sendek, Yvette Bayoumy] on *FREE* shipping on qualifying offers. The editions of Computational Methods for Population Projections that were published by The Population Council are no longer in by: Computational Methods for Population Projections: With Particular Reference to Development Planning [Frederic Claiborne Shorter] on *FREE* shipping on qualifying offers.

Get this from a library. Computational methods for population projections: with particular reference to development planning. [Frederic Claiborne Shorter; David Pasta]. released projections of the population of the United States from to 1 The new series includes projections of the population by single year of age, sex, race, Hispanic origin, and nativity.

2 While the basic methodology used to produce these projections is the same as in earlier Census Bureau national population projections. The Future of World Religions: Population Growth Projections, Book April I demonstrate that we can now resolve such problems with new computational methods.

It is therefore. While most population projections for small areas are made with trend extrapolation, cohort-component, or structural methods, a number of additional approaches are worth mentioning. The housing unit method, though more commonly applied to prepare population estimates, also shows potential for small area population projections (Foss, ).

The. Author of An Introduction to Computer Programming Using Microsoft Visual Basic and Microsoft SQL Server Ce, Studia Z Frazeologii Bugarskiej I Macedonskiej, and Computational Methods for Population Projections with Particular Reference to Development Planning4/5(1). Projects and Grants. The United Nations publishes updated estimates and projections of the populations of all the world's countries, broken down by age and sex.

These are widely used by international organizations, governments, the private sector and researchers, for example for climate modeling and for assessing progress towards the Sustainable Development Goals. About FIVFIV, Computational Methods for Population Projections FIVFIV Release July (for IBM/PC compatible computers Computational methods for population projections book by Frederic C.

Shorter, Robert Sendek and Yvette Bayoumy It has been said that all Western philosophy is but a footnote to Plato.

I feel as though anything I might say here risks being but a footnote to de Gans, Population Forecasting, – The Transition to Modernity (De Gans ), to Frontiers of Population Forecasting, a supplement to Population Development Review edited by Lutz et al. (), and to Bongaarts and Bulatao [eds.] Beyond Cited by: 2.

Population Projections M. George, Stanley K. Smith, David A. Swanson, and Jeff Tayman “Population Projections,” chapter 21 in Jacob Siegel and David Swanson (eds.), The Methods and Materials of Demography. San Diego: Elsevier Academic Press, File Size: KB. We believe this book will help practitioners decide what data sources to use, what methods to apply, and what problems to watch out for when making population projections.

This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population. 46 Box 15 Computer programs for population projections One of the first computer programs for making population projections was developed by the United Nations Population Division in !1 The.

determine population growth and thus the main indicators used to prepare population projections. This part explains how demographic projections are prepared and the effects HIV/AIDS can have on population growth and structure.

The overview of demography in Part 1 File Size: KB. Methodology for Texas Population Projections Projections of the Population of Texas and Counties in Texas by Age, Sex and Race/Ethnicity for The selection of a computational procedure for applying the rates to the baseline cohorts to project the population for the projection period.

The final addition of an international migration module allows the user to accomplish fully open, multi-regional projections. This accessible introduction will be of interest to researchers and students in population studies and other social sciences. It will also appeal to anyone interested in the computational modeling of population dynamics.

The coverage of the book is indicated by its 12 chapters: basic concept and measures, age-specific rates and probabilities, the life table and single decrement processes, multiple decrement processes, fertility and reproduction, population projections, the stable population model, demographic relationships in non-stable populations, modelling.

Other methods of projection such as those involving the cohort change ratios are also discussed. In addition, methods for the projection of populations with given socio-economic characteristics is provided. Examples of the computational steps of. Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications - Ebook written by André Grow, Jan Van Bavel.

Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Agent-Based Modelling in Population Studies: Concepts, Methods, and Applications.

Demography (from prefix demo-from Ancient Greek δῆμος dēmos meaning "the people", and -graphy from γράφω graphō, ies "writing, description or measurement") is the statistical study of populations, especially human beings. Demography encompasses the study of the size, structure, and distribution of these populations, and spatial or temporal changes in them in response to birth.

tic population projections and issued point projections. These point projections were supplemented with ranges based on differ-ent scenarios of demographic changes. In July the UN for the first time issued official probabilistic population projections, which quantify the uncertainty associated with the demographic projections.

Although the human population growth rate of the world has been declining since peaking in the early s, the populations of individual countries are changing at different rates.

Population dynamics at national level are partly determined by levels of fertility and mortality, but the impact Pages: Sˇevˇc´ıkov´a, H. and Raftery, A.E.

Bayesian probabilistic population projections using R. In Proceedings of the Sixth Eurostat/UNECE Work Session on Demographic Projections (M. Marsili and G. Capacci, eds), Eurostat/UN/ISTAT, pp. – Population Projections Data Required and Methods 1. Introduction. The standard used in projecting populations is the cohort-component method.

This method projects a population in a way that duplicates the manner by which populations actually grow or decline.

Much simpler methods, such as File Size: KB. population projection methods pdf 4 The approach requires penatalaksanaan efusi pleura pdf absolute population estimates when removals occur, and is. Projections of countries future populations, broken down by age and sex.

Standard population projection methods are deterministic, s utilized to generate population projections and. These pages are no longer maintained.

lease use current verison. Introduction to Python. Variables; Operators; Iterators; Conditional Statements. This dataset contains forecasts of future population growth.

BC Stats applies the Component/Cohort-Survival method to project the population. This method "grows" the population from the latest base year estimate by forecasting births, deaths and migration by age. These forecasts are based on past trends modified to account for possible future changes and, consequently, should be viewed.

The computational pro-cedures in statistics and econometrics include both Monte Carlo methods and non-parametric methods (or distribution-free methods). In the ﬁrst half of this book, the Monte Carlo methods are discussed. That is, some representative random number generation methods and their applications are shown.

The second half of this. Session II: Main population projection methods II Objective Session II covers the basic elements of population projections. First, the basic accounting identity is presented for both close and open populations.

Next, two approaches to population projections are. projections of fertility, mortality, and net international migration are required to serve as inputs into the cohort component model, as is an original base population to project forward.

The assump - tions and methodolog ies used to create each input for the National Projections are described in detail in the sections that follow. Technological advances in the past 15 years have revolutionized biological sciences, as they have allowed large-scale simulations and high-throughput experiments throughout the Tree of Life.

Unarguably, there is a need for computational methods that enable us to efficiently store, analyze and visualize the plethora of biological information available. A First Course in Applied Mathematics is an ideal book for mathematics, computer science, and engineering courses at the upper-undergraduate level.

The book also serves as a valuable reference for practitioners working with mathematical modeling, computational methods, and the applications of mathematics in their everyday : Jorge Rebaza.

CONCLUSIONS Population projection methods for health outcomes is a broad topic The majority of articles used methods with low data requirements The more realistic predictions are required, the more complex and laborious projections are needed Sep Methods for population health projections / Jukka Kontto 16 Description: This book focuses on the methodology and analysis of state and local population projections.

It describes the most commonly used data sources and application techniques for four types of projection methods: cohort-component, trend extrapolation, structural models, and microsimulation. obtain population projections.

It can be extended in a fairly straightforward way to project two-sex populations. The formulation (1) is due to Leslie (). The deterministic analysis of (1) and its use for population projections are the subject of classical mathematical or formal demography.

National projections or indicators are produced by assuming “average” values of model parameters and initial conditions. Regional differences are only introduced at a secondary stage in which national projections are distributed.

Bottom-Up Approach The bottom-up approach to regional population projection is to apply a projection. Bayesian Population Analysis using WinBUGS A hierarchical perspective.

Book • Authors: is the key numerical descriptor of a central concept in ecology, the population. Classical capture-recapture methods, distance sampling, and spatial capture-recapture methods are well developed and can be applied to data from a single site or also.

An important contribution of computational approaches in statistical analysis has been the invention of bootstrap methods. Bootstrap methods are very useful in situations when one wants to evaluate a statistical procedure or an estimator, an no explicit evaluation formula.

Charles L. Byrne Department of Mathematical Sciences University of Massachusetts Lowell Applied and Computational Linear Algebra: A First CourseFile Size: 2MB. Against this backdrop, advances in genomics and computational methods present new opportunities in research and drug development.

Data such as gene expression, drug-target interactions, protein networks, electronic health records, clinical trial reports, and drug adverse event reports are rapidly accumulating and becoming increasingly Cited by: 2.STATISTICAL METHODS 1 STATISTICAL METHODS Arnaud Delorme, Swartz Center for Computational Neuroscience, INC, University of San Diego California, CA, La Jolla, USA.

Email: [email protected] Keywords: statistical methods, inference, models, clinical, software, bootstrap, resampling, PCA, ICA Abstract: Statistics represents that body of methods by which characteristics of.

GEOF H. GIVENS, PhD, is Associate Professor in the Department of Statistics at Colorado State University. He serves as Associate Editor for Computational Statistics and Data Analysis.

His research interests include statistical problems in wildlife conservation biology including ecology, population modeling and management, and automated computer face : Wiley.