• Summary
  • Contents
  • Subject index

Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format.

12 Probabilistic Sampling
12 Probabilistic sampling
Jeffrey M.Wooldridge
Introduction

Sampling theory underlies virtually all applications of mathematical statistics. Before one can intelligently analyze a set of data, one must know how the data were obtained. In other words, what was the sampling scheme? Were the data obtained by random sampling from the underlying population, with or ...

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