Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods.
Table of Contents
Introduction. Certain Common Methods of Sampling Finite Populations and Estimation Procedures: Prerequisite for Network and Adaptive Sampling. A Plea for Network Sampling: Theory and Applications. Need for Adaptive Sampling: Relevant Theory of Unbiased Estimator. Adaptive and Network Sampling in Tandem. Applications and Case Studies.