Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Sampling Algorithms: With R

Sampling Algorithms: With R

Tillé, Yves

Hardcover

Series: Springer Statistics

ApplicationsGeneral SociologyProbability & Statistics

PREORDER - Expected ship date November 9, 2026

ISBN10: 1071655744
ISBN13: 9781071655740
Publisher: Springer
Published: Nov 9 2026
Pages: 387
Language: English
This book provides a comprehensive overview of innovative sampling methods. Building on the foundations of general sampling theory, it offers a rigorous yet accessible framework for understanding and implementing modern sampling algorithms.

Sampling has undergone a profound transformation since the early 2000s. This new edition has been substantially expanded and offers a far more comprehensive treatment than the first, providing both broader scope and greater depth in modern sampling methodology. It places particular emphasis on state-of-the-art approaches, including systematic and quasi-systematic designs; maximum entropy sampling designs; balanced sampling and its variants; spatial and spread sampling that ensure geographic dispersion for autocorrelated variables; sample coordination for repeated surveys; and sampling from data streams for real-time signal analysis. Sampling enables big data reduction, illustrating how sampling theory can efficiently handle massive datasets.

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