Prediction Theory for Finite Populations:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1992
|
| Series: | Springer Series in Statistics
|
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | A large number of papers have appeared in the last twenty years on estimating and predicting characteristics of finite populations. This monograph is designed to present this modern theory in a systematic and consistent manner. The authors' approach is that of superpopulation models in which values of the population elements are considered as random variables having joint distributions. Throughout, the emphasis is on the analysis of data rather than on the design of samples. Topics covered include: optimal predictors for various superpopulation models, Bayes, minimax, and maximum likelihood predictors, classical and Bayesian prediction intervals, model robustness, and models with measurement errors. Each chapter contains numerous examples, and exercises which extend and illustrate the themes in the text. As a result, this book will be ideal for all those research workers seeking an up-to-date and well-referenced introduction to the subject |
| Physical Description: | 1 Online-Ressource (XII, 207p) |
| ISBN: | 9781461229049 9781461277132 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4612-2904-9 |
Staff View
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Record in the Search Index
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| id | DE-604.BV042420088 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:06Z |
| institution | BVB |
| isbn | 9781461229049 9781461277132 |
| issn | 0172-7397 |
| language | English |
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| publishDate | 1992 |
| publishDateSearch | 1992 |
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| publisher | Springer New York |
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| series2 | Springer Series in Statistics |
| spelling | Bolfarine, Heleno Verfasser aut Prediction Theory for Finite Populations by Heleno Bolfarine, Shelemyahu Zacks New York, NY Springer New York 1992 1 Online-Ressource (XII, 207p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 A large number of papers have appeared in the last twenty years on estimating and predicting characteristics of finite populations. This monograph is designed to present this modern theory in a systematic and consistent manner. The authors' approach is that of superpopulation models in which values of the population elements are considered as random variables having joint distributions. Throughout, the emphasis is on the analysis of data rather than on the design of samples. Topics covered include: optimal predictors for various superpopulation models, Bayes, minimax, and maximum likelihood predictors, classical and Bayesian prediction intervals, model robustness, and models with measurement errors. Each chapter contains numerous examples, and exercises which extend and illustrate the themes in the text. As a result, this book will be ideal for all those research workers seeking an up-to-date and well-referenced introduction to the subject Statistics Statistics, general Statistik Vorhersagetheorie (DE-588)4188671-9 gnd rswk-swf Vorhersagetheorie (DE-588)4188671-9 s 1\p DE-604 Zacks, Shelemyahu Sonstige oth https://doi.org/10.1007/978-1-4612-2904-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Bolfarine, Heleno Prediction Theory for Finite Populations Statistics Statistics, general Statistik Vorhersagetheorie (DE-588)4188671-9 gnd |
| subject_GND | (DE-588)4188671-9 |
| title | Prediction Theory for Finite Populations |
| title_auth | Prediction Theory for Finite Populations |
| title_exact_search | Prediction Theory for Finite Populations |
| title_full | Prediction Theory for Finite Populations by Heleno Bolfarine, Shelemyahu Zacks |
| title_fullStr | Prediction Theory for Finite Populations by Heleno Bolfarine, Shelemyahu Zacks |
| title_full_unstemmed | Prediction Theory for Finite Populations by Heleno Bolfarine, Shelemyahu Zacks |
| title_short | Prediction Theory for Finite Populations |
| title_sort | prediction theory for finite populations |
| topic | Statistics Statistics, general Statistik Vorhersagetheorie (DE-588)4188671-9 gnd |
| topic_facet | Statistics Statistics, general Statistik Vorhersagetheorie |
| url | https://doi.org/10.1007/978-1-4612-2904-9 |
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