| Dewey Class |
519.2 |
| Titel |
Indirect Estimators in U.S. Federal Programs ([EBook] /) / edited by Wesley L. Schaible. |
| Added Personal Name |
Schaible, Wesley L. editor. |
| Other name(s) |
SpringerLink (Online service) |
| Veröffentl |
New York, NY : : Springer New York : : Imprint: Springer, , 1996. |
| Physical Details |
212 p. : online resource. |
| Reihe |
Lecture Notes in Statistics 0930-0325 ; ; 108 |
| ISBN |
9781461207214 |
| Summary Note |
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.: |
| Contents note |
1. Introduction and Summary -- 2. Synthetic Estimation in Followback Surveys at the National Center for Health Statistics -- 3. State, Metropolitan Area, and County Income Estimation -- 4. Postcensal Population Estimates: States, Counties, and Places -- 5. Bureau of Labor Statistics’ State and Local Area Estimates of Employment and Unemployment -- 6. County Estimation of Crop Acreage Using Satellite Data -- 7. The National Agricultural Statistics Service County Estimates Program -- 8. Model Based State Estimates from the National Health Interview Survey -- 9. Estimation of Median Income for 4-Person Families by State -- 10. Recommendations and Cautions. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-1-4612-0721-4 |
| LINKS ZU 'VERWANDTEN WERKEN |
Schlagwörter: .
Mathematics .
Probabilities .
Probability theory and stochastic processes .
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