Download or read book Some Methods of Estimation for Statistically Underdeveloped Areas written by Paul George Demeny and published by . This book was released on 1971 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Some Methods of Estimation for Statistically Underdeveloped Areas written by Paul George Demeny and published by . This book was released on 1971 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Small Area Estimation Techniques written by Asian Development Bank and published by Asian Development Bank. This book was released on 2020-05-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Download or read book 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 published by . This book was released on 1981 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Small Area Estimation written by National Center for Health Statistics (U.S.) and published by . This book was released on 1979 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysis of Poverty Data by Small Area Estimation written by Monica Pratesi and published by John Wiley & Sons. This book was released on 2016-02-23 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
Download or read book Small Area Estimates of School Age Children in Poverty written by National Research Council and published by National Academies Press. This book was released on 1999-03-18 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: The U.S. Department of Education uses estimates of school-age children in poverty to allocate federal funds under Title I of the Elementary and Secondary Education Act for education programs to aid disadvantaged children. Historically, the allocations have been made by a two-stage process: the department's role has been to allocate Title I funds to counties; the states have then distributed these funds to school districts. Until recently, the department has based the county allocations on the numbers and proportions of poor school-age children in each county from the most recent decennial census. States have used several different data sources, such as the decennial census and the National School Lunch Program, to distribute the department's county allocations to districts. In 1994 Congress authorized the Bureau of the Census to provide updated estimates of poor school-age children every 2 years, to begin in 1996 with estimates for counties and in 1998 with estimates for school districts. The Department of Education is to use the school district estimates to allocate Title I basic and concentration grants directly to districts for the 1999-2000 and later school years, unless the Secretaries of Education and Commerce determine that they are "inappropriate or unreliable" on the basis of a study by the National Research Council. That study is being carried out by the Committee on National Statistics' Panel on Estimates of Poverty for Small Geographic Areas.
Download or read book Small Area Estimates of School Age Children in Poverty written by National Research Council and published by National Academies Press. This book was released on 1999-02-18 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: The U.S. Department of Education uses estimates of school-age children in poverty to allocate federal funds under Title I of the Elementary and Secondary Education Act for education programs to aid disadvantaged children. Historically, the allocations have been made by a two-stage process: the department's role has been to allocate Title I funds to counties; the states have then distributed these funds to school districts. Until recently, the department has based the county allocations on the numbers and proportions of poor school-age children in each county from the most recent decennial census. States have used several different data sources, such as the decennial census and the National School Lunch Program, to distribute the department's county allocations to districts. In 1994 Congress authorized the Bureau of the Census to provide updated estimates of poor school-age children every 2 years, to begin in 1996 with estimates for counties and in 1998 with estimates for school districts. The Department of Education is to use the school district estimates to allocate Title I basic and concentration grants directly to districts for the 1999-2000 and later school years, unless the Secretaries of Education and Commerce determine that they are "inappropriate or unreliable" on the basis of a study by the National Research Council. That study is being carried out by the Committee on National Statistics' Panel on Estimates of Poverty for Small Geographic Areas.
Download or read book Small Area Population Estimates Methods and Their Accuracy and New Metropolitan Area Definitions and Their Impact on the Private and Public Sector written by United States Bureau Of The Census and published by Forgotten Books. This book was released on 2017-11-08 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt from Small-Area Population Estimates-Methods and Their Accuracy and New Metropolitan Area Definitions and Their Impact on the Private and Public Sector: Papers Presented at the Conference on Small-Area Statistics, American Statistical Association, Houston, Texas, August 11, 1980 Although Ericksen (1973, 1974) argues that regression models incorporating sample data are useful in estimating county populations, this approach is not often found in actual practice. Consequently, the discussion of the regression models and procedures in this report is directed toward complete rather than sample data. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Download or read book Estimating Population and Income of Small Areas written by Assembly of Behavioral and Social Sciences (U.S.). Panel on Small-Area Estimates of Population and Income and published by . This book was released on 1980 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hierarchical Modeling and Inference in Ecology written by J. Andrew Royle and published by Elsevier. This book was released on 2008-10-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book The Methods and Materials of Demography written by Henry S. Shryock and published by . This book was released on 1973 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Current Industrial Reports written by and published by . This book was released on 1965 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Current Industrial Reports written by United States. Bureau of the Census and published by . This book was released on 1971 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Current Business Reports Monthly Retail Trade Sales and Accounts Receivable written by and published by . This book was released on 1972 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
Download or read book Guidelines on Small Area Estimation for City Statistics and Other Functional Geographies written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The city data collection is one of the regular data collections of Eurostat and the national statistical institutes. The demand for timely and reliable socio-economic data on cities and functional urban areas has significantly increased. Since 2017, the cities and their functional urban areas are legally recognised by the amended NUTS regulation. To produce socio-economic data coming originally from sample surveys at the level of small units such as cities, functional urban areas and other functional geographies is a complex task which requires the application of small area estimation techniques since those functional geographies are usually not incorporated in the sampling design. The aim of these guidelines is to provide the national statistical institutes with a common framework for production of small area estimates. In addition to the timeliness and the quality of the estimates, to assure comparability across Europe and coherence with the estimates at larger territorial scale would be essential. Therefore, the proposed step-by-step procedure of specifying, implementing and evaluating various small area estimation techniques up to the final selection of an optimal approach has a great potential for improvement of quality in official statistics.