Indirect Estimators in U. S. Federal Programs
Author | : Wesley L. Schaible |
Publisher | : |
Total Pages | : 212 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781461207221 |
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Author | : Wesley L. Schaible |
Publisher | : |
Total Pages | : 212 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9781461207221 |
Author | : Wesley L. Schaible |
Publisher | : Springer Science & Business Media |
Total Pages | : 204 |
Release | : 2013-11-11 |
Genre | : Mathematics |
ISBN | : 1461207215 |
In 1991, a subcommittee of the Federal Committee on Statistical Methodology met to document the use of indirect estimators - that is, estimators which use data drawn from a domain or time different from the domain or time for which an estimate is required. This volume comprises the eight reports which describe the use of indirect estimators and they are based on case studies from a variety of federal programs. As a result, many researchers will find this book provides a valuable survey of how indirect estimators are used in practice and which addresses some of the pitfalls of these methods.
Author | : United States. Federal Committee on Statistical Methodology. Subcommittee on Small Area Estimation |
Publisher | : |
Total Pages | : |
Release | : 1993 |
Genre | : Cities and towns |
ISBN | : |
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 179 |
Release | : 2013-05-22 |
Genre | : Social Science |
ISBN | : 0309284368 |
Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Fifth Edition explains these four principles in detail.
Author | : Beverly D. Causey |
Publisher | : |
Total Pages | : 40 |
Release | : 1999 |
Genre | : Education surveys |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 126 |
Release | : 2001-07 |
Genre | : Labor laws and legislation |
ISBN | : |
Publishes in-depth articles on labor subjects, current labor statistics, information about current labor contracts, and book reviews.
Author | : United States. Bureau of Economic Analysis |
Publisher | : |
Total Pages | : 636 |
Release | : 1984 |
Genre | : Income |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 294 |
Release | : 2006 |
Genre | : Social sciences |
ISBN | : |
Author | : Hakan Andersson |
Publisher | : Springer Science & Business Media |
Total Pages | : 140 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461211581 |
The present lecture notes describe stochastic epidemic models and methods for their statistical analysis. Our aim is to present ideas for such models, and methods for their analysis; along the way we make practical use of several probabilistic and statistical techniques. This will be done without focusing on any specific disease, and instead rigorously analyzing rather simple models. The reader of these lecture notes could thus have a two-fold purpose in mind: to learn about epidemic models and their statistical analysis, and/or to learn and apply techniques in probability and statistics. The lecture notes require an early graduate level knowledge of probability and They introduce several techniques which might be new to students, but our statistics. intention is to present these keeping the technical level at a minlmum. Techniques that are explained and applied in the lecture notes are, for example: coupling, diffusion approximation, random graphs, likelihood theory for counting processes, martingales, the EM-algorithm and MCMC methods. The aim is to introduce and apply these techniques, thus hopefully motivating their further theoretical treatment. A few sections, mainly in Chapter 5, assume some knowledge of weak convergence; we hope that readers not familiar with this theory can understand the these parts at a heuristic level. The text is divided into two distinct but related parts: modelling and estimation.
Author | : Denis Bosq |
Publisher | : Springer Science & Business Media |
Total Pages | : 314 |
Release | : 2000-07-28 |
Genre | : Mathematics |
ISBN | : 9780387950525 |
The main subject of this book is the estimation and forecasting of continuous time processes. It leads to a development of the theory of linear processes in function spaces. Mathematical tools are presented, as well as autoregressive processes in Hilbert and Banach spaces and general linear processes and statistical prediction. Implementation and numerical applications are also covered. The book assumes knowledge of classical probability theory and statistics.