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This book describes a novel approach to the theory of sampling from finite populations. The new unifying approach is based on the sampling autocorrelation coefficient. The author derives a general set of sampling equations that describe the estimators, their variances as well as the corresponding variance estimators. This volume will be useful for survey practitioners faced with complex surveys.
Introduction and Outline of the Book * Elementary Statistics * Alternative Approach to Unequal Probability Sampling * A General Rho Theory on Survey Sampling * Variance Estimation for Some Standard Designs * Multistage and Cluster (Sub)Sampling * Systematic Sampling * Estimation of the Sampling Autocorrelation Coefficient * Variance Approximations * A Simulation Study * The Regression Estimator Revisited * General Restriction Estimator in Multisurvey Sampling * Weighting Procedures