Introducción a la Estimación de Varianzas

Introduction to Variance Estimation
Kirk M. Wolter
Segunda Edición

1. Introduction
2. The Method of Random Groups
3. Variance Estimation Based on Balanced Half-Samples
4. The Jackknife Method
5. The Bootstrap Method
6. Taylor Series Methods
7. Generalized Variance Functions
8. Variance Estimation for Systematic Sampling
9. Summary of Methods for Complex Surveys

Appendix A
Hadamard Matrices

Appendix B
Asymptotic Theory of Variance Estimators
B.1 Introduction
B.2 Case I: Increasing L
B.3 Case II: Increasing nh
B.4 Bootstrap Method

Appendix C
Transformations
C.1 Introduction
C.2 How to Apply Transformations to Variance Estimation Problems
C.3 Some Common Transformations
C.4 An Empirical Study of Fisher’s z-Transformation for the Correlation Coefficient

Appendix D
The Effect of Measurement Errors on Variance Estimation

Appendix E
Computer Software for Variance Estimation

Appendix F
The Effect of Imputation on Variance Estimation
F.1 Introduction
F.2 Inflation of the Variance
F.3 General-Purpose Estimators of the Variance
F.4 Multiple Imputation
F.5 Multiply Adjusted Imputation
F.6 Fractional Imputation

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