02326nam a22004455i 4500 978-0-387-34240-5 DE-He213 20260521091906.0 cr nn 008mamaa 100301s2006 xxu| s |||| 0|eng d 9780387342405 99780387342405 10.1007/0-387-34240-0 doi CICY 519.5 23 Tillé, Yves. author. Sampling Algorithms [recurso electrónico] / by Yves Tillé. New York, NY : Springer New York, 2006. XI, 216 p. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda Springer Series in Statistics, 0172-7397 and Overview -- Population, Sample, and Sampling Design -- Sampling Algorithms -- Simple Random Sampling -- Unequal Probability Exponential Designs -- The Splitting Method -- More on Unequal Probability Designs -- Balanced Sampling -- An Example of the Cube Method. Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.Yves Tillé is a professor at the University of Neuchâtel (Switzerland) STATISTICS. MATHEMATICAL STATISTICS. STATISTICS. STATISTICAL THEORY AND METHODS. STATISTICS AND COMPUTING/STATISTICS PROGRAMS. STATISTICS FOR SOCIAL SCIENCE, BEHAVORIAL SCIENCE, EDUCATION, PUBLIC POLICY, AND LAW. SpringerLink (Online service) Springer eBooks Printed edition: 9780387308142 Springer Series in Statistics, 0172-7397 http://dx.doi.org/10.1007/0-387-34240-0 Ver el texto completo en las instalaciones del CICY ddc ER 33295 33295 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 519.5 2025-07-10 08:39:53 2025-07-10 ER