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...

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Hlavní autor: Wolter, Kirk M.
Médium: Livre numérique
Jazyk:Anglais
Vydáno: New York, NY : Springer New York [20..].
Cham : Springer Nature
Vydání:1st ed. 2007.
Edice:Springer Series in Statistics
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Poznámka: L'impression du document génère 460 p.
Archives Springer e-books (Licence nationale)
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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
Obsah:
  • 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