3 edition of **Stochastic processes in demography and their computer implementation** found in the catalog.

Stochastic processes in demography and their computer implementation

Charles J. Mode

- 253 Want to read
- 2 Currently reading

Published
**1985**
by Springer-Verlag in Berlin, New York
.

Written in English

- Population -- Mathematical models.,
- Population -- Data processing.

**Edition Notes**

Includes bibliographies and indexes.

Statement | C.J. Mode. |

Series | Biomathematics ;, v. 14 |

Classifications | |
---|---|

LC Classifications | HB849.51 .M635 1985 |

The Physical Object | |

Pagination | xvii, 389 p. : |

Number of Pages | 389 |

ID Numbers | |

Open Library | OL2863750M |

ISBN 10 | 0387136223 |

LC Control Number | 84026707 |

The Graduate Center, The City University of New York Established in , the Graduate Center of the City University of New York (CUNY) is devoted primarily to doctoral studies and awards most of CUNY's doctoral degrees. An internationally recognized center for advanced studies and a national model for public doctoral education, the Graduate Center offers more than thirty doctoral programs in. Biosci. (). 10 S. Mitra, Influence of instantaneous fertility decline to replacement level on population growth-an alternative model, Demography (). 11 C. J. Mode, Stochastic Processes in Demography and Their Computer Implementation, Springer-Verlag, New York, 12 C. J. Mode and R. C. Busby, Algorithms for a Cited by: 1.

Generalized stochastic SI(S) models. In SI and SIS models the population consists of susceptibles and infectives. The state of the underlying CTMC is denoted by (s, i) where s is the number of susceptible individuals and i is the number of infected susceptibles and infectives can immigrate or can be born and they can die (or emigrate).Cited by: 7. I'm looking for a recommendation for a book on stochastic processes for an independent study that I'm planning on taking in the next semester. Something that doesn't go into the full blown derivations from a measure theory point of view, but still gives a thorough treatment of the subject. As a little bit of background, I'm a second year PhD.

Stochastic Processes book. Read 4 reviews from the world's largest community for readers. A nonmeasure theoretic introduction to stochastic processes. Co 4/5. in the modelling of physical systems using the theory of stochastic processes and, in particular, diffusion processes: either study individual trajectories of Brownian particles. Their evolution is governed by a stochastic differential equation: dX dt = F(X) +Σ(X)ξ(t), where ξ(t) is a random force or study the probability ρ(x,t) of ﬁnding.

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According to a recent report of the United States Census Bureau, world population as of Jwas estimated at about 4. 7 billion people; of this total, an. Stochastic Processes in Demography and Their Computer Implementation (Biomathematics (14)) Softcover reprint of the original 1st ed.

Edition by Charles J. Mode (Author) › Visit Amazon's Charles J. Mode Page. Find all the books, read about the author, and more. Format: Paperback. According to a recent report of the United States Census Bureau, world population as of Jwas estimated at about 4.

7 billion people; of this total, an estimated 82 million had been added in the previous year. World population in was estimated at about 2. 5 billion; consequently. Open Library is an open, editable library catalog, building towards a web page for every book ever published.

Stochastic Processes in Demography and Their Computer Implementation by Charles J. Mode; 1 edition; First published in Stochastic processes in demography and their computer implementation. Berlin ; New York: Springer-Verlag, © (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Charles J Mode.

Get this from a library. Stochastic Processes in Demography and Their Computer Implementation. [Charles J Mode] -- According to a recent report of the United States Census Bureau, world population as of Jwas estimated at about 4. 7 billion people; of. Books shelved as stochastic-processes: Introduction to Stochastic Processes by Gregory F.

Lawler, Adventures in Stochastic Processes by Sidney I. Resnick. in A very good book, but less accessible to social scientists as Taylor and Karlin. It is the text used by Cinlar in the course I took when I was a graduate student at Northwestern University in Mode, C.J. () Stochastic processes in demography and their computer implementation.

Springer (Biomathematics) Advanced text. Techniques of population studies are presented in this book together with applications using a stochastic process oriented-approach. The text includes new aspects of stochastic modelling in demography, competing risk theory and survival theory, problems of incomplete demographic data, and sampling problems in the estimation of demographic : Suddhendu Biswas.

Mode C.J. () Population Projection Methodology Based on Stochastic Population Processes. In: Stochastic Processes in Demography and Their Computer Implementation.

Biomathematics, vol Author: Charles J. Mode. Stochastic Processes in Demography and Applications Hardcover – by Suddhendu Biswas (Author)Cited by: Stochastic Processes in Demography and Their Computer Implementation Book 14 According to a recent report of the United States Census Bureau, world population as of Jwas estimated at about 4.

7 billion people; of this total, an. Stochastic Processes in Demography and Their Computer Implementation. [Charles J Mode] -- According to a recent report of the United States Census Bureau, world population as of Jwas estimated at about 4.

7 billion people; of this total, an estimated 82 million had been. Any thing completely random is not important. If there is no pattern in it its of no use. Even though the toss of a fair coin is random but there is a pattern that given sufficiently large number of trails you will get half of the times as heads.

Charles J. Mode. Drexel University On the formulation and computer implementation of an age-dependent two-sex demographic model. Stochastic Processes in Demography and Their Computer. Stochastic Processes and Their Applications is a monthly peer-reviewed scientific journal published by Elsevier for the Bernoulli Society for Mathematical Statistics and editor-in-chief is Sylvie principal focus of this journal is theory and applications of stochastic was established in Abstracting and indexingDiscipline: Statistics.

One of the simplest stochastic processes is the Bernoulli process, which is a sequence of independent and identically distributed (iid) random variables, where each random variable takes either the value one or zero, say one with probability and zero with probability −.This process can be linked to repeatedly flipping a coin, where the probability of obtaining a head is and its value is one.

Stochastic Processes in Demography and Their Computer Implementation. the term human survivorship will be used extensively, since survival of and by itself is a basic aspect of population dynamics. () Human Survivorship. In: Stochastic Processes in Demography and Their Computer Implementation.

Biomathematics, vol Springer. Stochastic processes underlie many ideas in statistics such as time series, markov chains, markov processes, bayesian estimation algorithms (e.g., Metropolis-Hastings) etc.

Thus, a study of stochastic processes will be useful in two ways: Enable you to develop models for situations of interest to you. (A2A) When I was trying to learn the basics I found Almost None of the Theory of Stochastic Processes a lot easier to read than most of the alternatives, but.

Mode C.J. () A Computer Software Design Implementing Models of Maternity Histories. In: Stochastic Processes in Demography and Their Computer Implementation. Biomathematics, vol Cited by: 1.Publishing is our business. Read Free Content. Coronavirus. Springer Nature is committed to supporting the global response to emerging outbreaks by enabling fast and direct access to the latest available research, evidence, and data.Distribution of Births in an Abrupt Sequence: A Stochastic Model M.

EL-SHALAKANI AND A. PANDEY Department of Biostatistics and Carolina Population Center, University of North Carolina at Chapel Hill Received 7 Junerevised 20 August ABSTRACT A probability model for the distribution of number of births in a time segment (To, To + T), where To is a distant time point since the start Cited by: 3.