Introduction to Variance Estimation
We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to sound...
Bewaard in:
| Hoofdauteur: | |
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| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Editie: | 1st ed. 2007. |
| Reeks: | Springer Series in Statistics
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| Onderwerpen: | |
| Online toegang: | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
L'impression du document génère 460 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Manual of quantitative pathology in cancer diagnosis and prognosis, J.P.A. Baak, Berlin, Springer-Verlag, 1991, xvii, 616 p., 3-540-51275-6 • Introduction to Variance Estimation, Texte imprimé, 9781441921970 • Introduction to variance estimation, Kirk M. Wolter, 2nd edition, New York, Springer, 2007, 1 vol.(XIV-447 p.), Statistics for social and behavioral sciences, 0-387-32917-X • Introduction to variance estimation, Kirk M. Wolter, New York, Springer, 2003, 1vol.(427p.), Springer series in statistics, 0-387-40622-0 • Introduction to variance estimation, Kirk M. Wolter, New York, Springer-Verlag, 1985, xi, 427 p., Springer series in statistics, 0-387-96119-4 |
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| 084 | |a 62-01. 2010 | ||
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| 100 | 1 | |a Wolter, Kirk M. | |
| 245 | 1 | 0 | |a Introduction to Variance Estimation |c Kirk M. Wolter. |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Statistics |x 2197-568X | |
| 500 | |a L'impression du document génère 460 p. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a The Method of Random Groups Variance Estimation Based on Balanced Half-Samples The Jackknife Method The Bootstrap Method Taylor Series Methods Generalized Variance Functions Variance Estimation for Systematic Sampling Summary of Methods for Complex Surveys Hadamard Matrices Asymptotic Theory of Variance Estimators Transformations The Effect of Measurement Errors on Variance Estimation Computer Software for Variance Estimation The Effect of Imputation on Variance Estimation | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to sound decision making. Now in its second edition, Introduction to Variance Estimation has for more than twenty years provided the definitive account of the theory and methods for correct precision calculations and inference, including examples of modern, complex surveys in which the methods have been used successfully. The book provides instruction on the methods that are vital to data-driven decision making in business, government, and academe. It will appeal to survey statisticians and other scientists engaged in the planning and conduct of survey research, and to those analyzing survey data and charged with extracting compelling information from such data. It will appeal to graduate students and university faculty who are focused on the development of new theory and methods and on the evaluation of alternative methods. Software developers concerned with creating the computer tools necessary to enable sound decision-making will find it essential. Prerequisites include knowledge of the theory and methods of mathematical statistics and graduate coursework in survey statistics. Practical experience with real surveys is a plus and may be traded off against a portion of the requirement for graduate coursework. This second edition reflects shifts in the theory and practice of sample surveys that have occurred since the content of the first edition solidified in the early 1980 s. Additional replication type methods appeared during this period and have featured prominently journal publications. Reflecting these developments, the second edition now includes a new major chapter on the bootstrap method of variance estimation. This edition also includes extensive new material on Taylor series methods, especially as they apply to newer methods of analysis such as logistic regression or the generalized regression estimator. An introductory section on survey weighting has been added. Sections on Hadamard matrices and computer software have been substantially scaled back. Fresh material on these topics is now readily available on the Internet or from commercial sources. Kirk Wolter is a Senior Fellow at NORC, Director of the Center for Excellence in Survey Research, and Professor in the Department of Statistics, University of Chicago. He is a Fellow of the American Statistical Association and a Member of the International Statistical Institute. He is a past president of the International Association of Survey Statisticians and a past chair of the Survey Research Methods Section of the American Statistical Association. During the last 35 years, he has participated in the planning, execution, and analysis of large-scale complex surveys and has provided instruction in survey statistics both in America and around the world | ||
| 650 | |a Estimation, Théorie de l' | ||
| 650 | |a Méthode du jackknife (statistique) | ||
| 650 | |a Bootstrap (statistique) | ||
| 650 | |a Analyse de variance | ||
| 650 | |a Modèles linéaires (statistique) | ||
| 776 | 0 | |0 021674337 |t Manual of quantitative pathology in cancer diagnosis and prognosis |f J.P.A. Baak |c Berlin |n Springer-Verlag |d 1991 |p xvii, 616 p. |z 3-540-51275-6 | |
| 776 | 0 | |t Introduction to Variance Estimation |b Texte imprimé |z 9781441921970 | |
| 776 | 0 | |0 116937637 |t Introduction to variance estimation |f Kirk M. Wolter |e 2nd edition |c New York |n Springer |d 2007 |p 1 vol.(XIV-447 p.) |s Statistics for social and behavioral sciences |z 0-387-32917-X | |
| 776 | 0 | |0 094831467 |t Introduction to variance estimation |f Kirk M. Wolter |c New York |n Springer |d 2003 |p 1vol.(427p.) |s Springer series in statistics |z 0-387-40622-0 | |
| 776 | 0 | |0 026246120 |t Introduction to variance estimation |f Kirk M. Wolter |c New York |n Springer-Verlag |d 1985 |p xi, 427 p. |s Springer series in statistics |z 0-387-96119-4 | |
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