Description
Sampling Algorithms, authored by Yves Tillé and published by Springer in 2006, provides an in-depth exploration of statistical sampling methodologies essential for researchers and practitioners. The book covers fundamental principles of sampling design, including probability sampling methods, stratified sampling, cluster sampling, and systematic sampling approaches.
Tillé presents both classical and modern algorithmic techniques used in survey sampling, emphasizing the theoretical foundations and practical implementations. The text addresses complex sampling problems and offers solutions for selecting representative samples from large populations efficiently. With rigorous mathematical treatment and real-world applications, this hardcover edition serves as an authoritative reference for statisticians, data analysts, and survey researchers seeking to understand and master sampling algorithms and their computational aspects.
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