Some Methods of Estimation for Statistically Underdeveloped Areas
Author: Paul George Demeny
Publisher:
Published: 1971
Total Pages: 50
ISBN-13:
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Author: Paul George Demeny
Publisher:
Published: 1971
Total Pages: 50
ISBN-13:
DOWNLOAD EBOOKAuthor: Asian Development Bank
Publisher: Asian Development Bank
Published: 2020-05-01
Total Pages: 152
ISBN-13: 9292622234
DOWNLOAD EBOOKThis guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
Author: Henry S. Shryock
Publisher:
Published: 1975
Total Pages: 560
ISBN-13:
DOWNLOAD EBOOKAuthor: Henry S. Shryock
Publisher: Academic Press
Published: 2013-10-22
Total Pages: 588
ISBN-13: 1483289109
DOWNLOAD EBOOKLike the original two-volume work, this work attempts to present a systematic and comprehensive exposition, with illustrations, of the methods used by technicians and research workers in dealing with demographic data. The book is concerned with how data on population are gathered, classified, and treated to produce tabulations and various summarizing measures that reveal the significant aspects of the composition and dynamics of populations. It sets forth the sources, limitations, underlying definitions, and bases of classification, as well as the techniques and methods that have been developed for summarizing and analyzing the data.
Author: J. Andrew Royle
Publisher: Elsevier
Published: 2008-10-15
Total Pages: 463
ISBN-13: 0080559255
DOWNLOAD EBOOKA guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution* abundance models based on many sampling protocols, including distance sampling* capture-recapture models with individual effects* spatial capture-recapture models based on camera trapping and related methods* population and metapopulation dynamic models* models of biodiversity, community structure and dynamics - Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) - Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis - Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS - Computing support in technical appendices in an online companion web site
Author: Brian L. Joiner
Publisher:
Published: 1970
Total Pages: 512
ISBN-13:
DOWNLOAD EBOOKAll articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.
Author: David A. Swanson
Publisher: Springer Science & Business Media
Published: 2012-05-23
Total Pages: 420
ISBN-13: 9048189543
DOWNLOAD EBOOKProviding a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers. Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates.
Author: Zeng Yi
Publisher: EOLSS Publications
Published: 2010-11-30
Total Pages: 416
ISBN-13: 1848263074
DOWNLOAD EBOOKAccording to the classic and widely accepted statement by Hauser and Duncan (1959: 2), demography is defined as “the study of the size, territorial distribution, and components of population, changes therein, and components of such changes.” Almost all disciplines of social sciences and most disciplines of natural sciences deal with human beings in one way or another, either directly or indirectly. Furthermore, demographic concepts (e.g., birth rate, death rate, and migration) and methods and analysis strategies (e.g., life table analysis) can be readily extended to other species (insects, animals, plants, etc.) and inanimate collectives (enterprises, automobiles, etc.). Clearly, demography is an important thematic field in science and it may provide the empirical foundation for studying human beings, animals, and inanimate collectives on which other relevant scientific research is built. The volume aims to be of value to the various audiences of both non-specialists and experts who seek a comprehensive understanding of issues related to human population. As reviewed in the very beginning of the Theme Introduction, “interdisciplinary” is one of the three major features of demography. Given the rapid development in techniques for collecting not only demographic data but also other related data concerning health, biomarkers, genetics, behaviors, and social and natural environments in conventional population surveys, as well as rapidly enhancing computing powers, this volume shows and concludes that demography will be even more interdisciplinary in the coming decades. A notable example is that the cross-field “marriage” between bio-medical sciences and demography will lead us to enter an era in which bio-medical and demographic methods will be well integrated. As indicated by James R. Carey and James W. Vaupel in Chapter 13 of this volume, the bio-demographic branches of demography are vibrant areas of demographic research that are rapidly growing and that have great potential to enrich and enlarge the domain of demography. Not only can demographers learn much from biologists and epidemiologists, but demographers can contribute much to research on life in general and to research on population health. The increasing availability of data sources and much enhanced computing/internet power will also lead demography to be more interactive with the other fields, such as psychology, environmental science, economics, business and management, etc. As discussed in this volume’s Chapter 11 by Swanson and Pol, for example, it is now possible to link conventional demographic data sources of census, surveys, and vital statistics with administrative records such as social security, tax reporting, medical insurance, hospital records, school registration, supermarket purchasing cards use, etc., while protecting individuals’ privacy. Such linkages will substantially increase the value of demographic methods, surveys and administrative records for scientific research and policy analysis, as well as the applicability of demography in business and governmental decision making processes.
Author: J. J. Teuscher
Publisher:
Published: 1974
Total Pages: 174
ISBN-13:
DOWNLOAD EBOOKAuthor: David L. Featherman
Publisher:
Published: 1978
Total Pages: 600
ISBN-13:
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