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Estimation Methods For Small Area Statistics In Repeated Surveys


Estimation Methods For Small Area Statistics In Repeated Surveys
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Estimation Methods For Small Area Statistics In Repeated Surveys


Estimation Methods For Small Area Statistics In Repeated Surveys
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Author : Bhim Singh
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-02-08

Estimation Methods For Small Area Statistics In Repeated Surveys written by Bhim Singh and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-08 with categories.


The requirements for small area statistics have been in great demand by public as well as private sectors because the governments are interested in obtaining statistics for smaller domains such as States, Provinces, Districts, Tehsils, Blocks and Village Panchayat etc or different racial and ethnic subgroups for implementing their policies at local. These domains are called small area-the term "SMALL" refers to the fact that the sample size in the area or domain from the survey is small. The Small Area Statistics (SAS) method like synthetic etc. may be used to utilise such data for obtaining small area estimates of change in the parameters or an overall estimates over a period of time or most efficient small area estimates on current occasion. In this book, we have presented estimations methodologies for small areas statistics in repeated surveys. Also an empirical study is carried out to show the properties of the proposed estimators.



Missing Data And Small Area Estimation


Missing Data And Small Area Estimation
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Author : Nicholas T. Longford
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-11-24

Missing Data And Small Area Estimation written by Nicholas T. Longford and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-24 with Mathematics categories.


This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?rst C- pion Fellow (2000–2002). For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research. After a few years of involvement, I have come to realise that the separation of ‘academic’ and ‘industrial’ statistics is not well suited to either party, and their integration is the key to progress in both branches. Most of the work on this monograph was done while I was a visiting l- turer at Massey University, Palmerston North, New Zealand. The hospitality and stimulating academic environment of their Institute of Information S- ence and Technology is gratefully acknowledged. I could not name all those who commented on my lecture notes and on the presentations themselves; apart from them, I want to thank the organisers and silent attendees of all the events, and, with a modicum of reluctance, the ‘grey ?gures’ who kept inquiring whether I was any nearer the completion of whatever stage I had been foolish enough to attach a date.



Small Area Estimation


Small Area Estimation
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Author : J. N. K. Rao
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-25

Small Area Estimation written by J. N. K. Rao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-25 with Mathematics categories.


An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features Provides recent applications of SAE including several in U.S. Federal programs Offers a comprehensive discussion of the design issues that impact SAE



Small Area Estimation In Longitudinal Surveys


Small Area Estimation In Longitudinal Surveys
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Author : Bhim Singh
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-04

Small Area Estimation In Longitudinal Surveys written by Bhim Singh and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04 with Estimation theory categories.


Surveys dealing with multiple observations spread over time are defined as longitudinal surveys. When one is concerned about estimates of population sub-groups in longitudinal surveys, particularly the pattern of changes at individual level as well as aggregate level over time, the techniques of small areas estimation (SAE) can possibly be employed to achieve the above goal. In this book, it has been attempted to propose methodology for estimation of population parameters in longitudinal surveys with special reference to small area and study the temporal patterns of changes in population parameters. Direct, synthetic and composite estimators have been proposed to estimate the population mean of small area for specific points of time. It also provides detail of mean square errors (MSE) of the proposed estimator. The relative efficiencies of the proposed estimators are illustrated with an empirical data collected through surveys.



Small Area Population Estimates Methods And Their Accuracy And New Metropolitan Area Definitions And Their Impact On The Private And Public Sector


Small Area Population Estimates Methods And Their Accuracy And New Metropolitan Area Definitions And Their Impact On The Private And Public Sector
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Author :
language : en
Publisher:
Release Date : 1981

Small Area Population Estimates Methods And Their Accuracy And New Metropolitan Area Definitions And Their Impact On The Private And Public Sector written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Demographic surveys categories.




Small Area Estimation


Small Area Estimation
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Author : National Center for Health Statistics (U.S.)
language : en
Publisher:
Release Date : 1979

Small Area Estimation written by National Center for Health Statistics (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Medical categories.




Administrative Records For Survey Methodology


Administrative Records For Survey Methodology
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Author : Asaph Young Chun
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-06

Administrative Records For Survey Methodology written by Asaph Young Chun and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Mathematics categories.


ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.



Hierarchical Modeling And Inference In Ecology


Hierarchical Modeling And Inference In Ecology
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Author : J. Andrew Royle
language : en
Publisher: Elsevier
Release Date : 2008-10-15

Hierarchical Modeling And Inference In Ecology written by J. Andrew Royle and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-15 with Science categories.


A 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



Population Estimates


Population Estimates
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Author : Everett S. Lee
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1982-04

Population Estimates written by Everett S. Lee and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982-04 with Reference categories.


Five innovative methods of establishing the population characteristics of small areas are introduced and evaluated in this book. Changes in communities can be slow, but recent history has seen huge growth in some areas and depopulation of others. As a result, population estimating has grown up under pressure from legislators and administrators who place a high premium on validity. The contributors to this volume provide ideas that have been tested in practice, anticipate the usual types of error, and are suitable for different purposes.



Sample Surveys Design Methods And Applications


Sample Surveys Design Methods And Applications
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Author :
language : en
Publisher: Elsevier
Release Date : 2009-08-31

Sample Surveys Design Methods And Applications written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-31 with Mathematics categories.


This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 29A deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 29B is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. Comprehensive account of recent developments in sample survey theory and practice Discusses a wide variety of diverse applications Comprehensive bibliography