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Author: Henry C. Krebs
Publisher:
ISBN:
Category : Population
Languages : en
Pages : 17
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Book Description
Author: Henry C. Krebs
Publisher:
ISBN:
Category : Population
Languages : en
Pages : 17
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Book Description
Author: Lisa J. Neidert
Publisher:
ISBN:
Category : Age groups
Languages : en
Pages : 0
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Book Description
Author: Alexandru Cernat
Publisher: Oxford University Press
ISBN: 0192603981
Category : Science
Languages : en
Pages : 304
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Book Description
Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.
Author: Eli Samplin Marks
Publisher: New York : Population Council ; Bridgeport, Conn. : distributed for the Population Council by Key Book Service
ISBN:
Category : Social Science
Languages : en
Pages : 504
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Book Description
Theoretical manual on statistical data collecting methodology for the evaluation and measurement of population growth - includes a bibliography pp. 452 to 465, a glossary, maps and statistical tables.
Author: Lwando Kondlo
Publisher: LAP Lambert Academic Publishing
ISBN: 9783844312867
Category :
Languages : en
Pages : 96
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Book Description
This study considers the problem of estimating the population distribution of independent random variables from error-contaminated samples. The measurement error is also assumed to be normally distributed. Since the observed distribution function is a convolution of the error distribution with the true underlying distribution, estimation of the latter is often referred to as a deconvolution problem. A thorough study of the relevant deconvolution literature in statistics is reported. The intention is to draw more specific connections between certain deconvolution methods and also to demonstrate the application of the statistical theory of estimation in the presence of measurement error.
Author: Marit L. Bovbjerg
Publisher:
ISBN: 9781955101035
Category : Health & Fitness
Languages : en
Pages : 176
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Book Description
Foundations of Epidemiology is an open access, introductory epidemiology text intended for students and practitioners in public or allied health fields. It covers epidemiologic thinking, causality, incidence and prevalence, public health surveillance, epidemiologic study designs and why we care about which one is used, measures of association, random error and bias, confounding and effect modification, and screening. Concepts are illustrated with numerous examples drawn from contemporary and historical public health issues.
Author: Karol Krotki
Publisher: University of Alberta
ISBN: 9780888640178
Category : Social Science
Languages : en
Pages : 282
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Book Description
This book presents a dozen papers from experts in various parts of the world discussing the next stage in the development of the vastly expanding field of dual system estimation and providing some documentation of experiments with the method in francophone Africa and Liberia.
Author: Paul P. Biemer
Publisher: John Wiley & Sons
ISBN: 9780471692805
Category : Mathematics
Languages : en
Pages : 802
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Book Description
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book will be an aid to survey statisticians and to research workers who must work with survey data." –Short Book Reviews, International Statistical Institute Measurement Errors in Surveys documents the current state of the field, reports new research findings, and promotes interdisciplinary exchanges in modeling, assessing, and reducing measurement errors in surveys. Providing a fundamental approach to measurement errors, the book features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, and the effects of measurement errors on estimation and data analysis.
Author: Jack Allen
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 15
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Book Description
This paper proposes a family of estimators of population mean using information on several auxiliary variables and analyzes its properties in the presence of measurement errors.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309264944
Category : Technology & Engineering
Languages : en
Pages : 399
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Book Description
Using Science to Improve the BLM Wild Horse and Burro Program: A Way Forward reviews the science that underpins the Bureau of Land Management's oversight of free-ranging horses and burros on federal public lands in the western United States, concluding that constructive changes could be implemented. The Wild Horse and Burro Program has not used scientifically rigorous methods to estimate the population sizes of horses and burros, to model the effects of management actions on the animals, or to assess the availability and use of forage on rangelands. Evidence suggests that horse populations are growing by 15 to 20 percent each year, a level that is unsustainable for maintaining healthy horse populations as well as healthy ecosystems. Promising fertility-control methods are available to help limit this population growth, however. In addition, science-based methods exist for improving population estimates, predicting the effects of management practices in order to maintain genetically diverse, healthy populations, and estimating the productivity of rangelands. Greater transparency in how science-based methods are used to inform management decisions may help increase public confidence in the Wild Horse and Burro Program.
