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Author: American Statistical Association. Meeting
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 532
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Book Description
Author: American Statistical Association. Meeting
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 532
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Book Description
Author: Adrian Bejan
Publisher: Springer Science & Business Media
ISBN: 0387476814
Category : Science
Languages : en
Pages : 360
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Book Description
Constructal Theory of Social Dynamics brings together for the first time social scientists and engineers who present predictive theory of social organization, as a conglomerate of mating flows that morph in time to flow more easily. The book offers a new way to look at social phenomena as part of natural phenomena, and examines a new domain of application of engineering such as thermodynamic optimization, thermoeconomics and "design as science".
Author:
Publisher:
ISBN:
Category : Medical care
Languages : en
Pages : 198
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 156
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Book Description
Author:
Publisher: National Center for Health Statistics
ISBN: 9780160773297
Category : Medical
Languages : en
Pages : 530
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Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309063957
Category : Social Science
Languages : en
Pages : 134
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Book Description
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.
Author: Committee on National Statistics
Publisher: National Academies Press
ISBN: 0309517478
Category : Social Science
Languages : en
Pages : 134
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Book Description
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.
Author:
Publisher: Morgan Kaufmann
ISBN: 0080963544
Category : Mathematics
Languages : en
Pages : 667
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Book Description
Handbook of Statistics_29B 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 1 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 2 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 - Covers a wide variety of diverse applications - Comprehensive bibliography
Author:
Publisher: Elsevier
ISBN: 0444534385
Category : Probabilities
Languages : en
Pages : 667
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Book Description
Author: Yves Tille
Publisher: John Wiley & Sons
ISBN: 0470682051
Category : Mathematics
Languages : en
Pages : 447
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Book Description
A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.
