Introduction to Modern Sampling Theory: Designs, estimators and algorithms - Couverture souple

Mura, Antonio

Couverture souple

ISBN 10 : 384653191X ISBN 13 : 9783846531914

Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

This book provides an introduction to modern sampling survey theory. The author proposed an original approach based on an index free formalism. This formulation turns out to be ideal for taking advantage of many modern statistical software (such as Matlab or R), which allow managing vectors and data matrix as single algebraic objects. The book represents an introduction covering all the topics usually treated in standard sample survey books, such as: random samples and sampling designs, estimators and their properties, non-response. Moreover, even though sampling algorithm theory is not presented systematically, the author provides a large set of codes and examples allowing the reader to implement almost every sampling scheme discussed within the book. Only basic knowledge of algebra, calculus, probability and programming, that are within the academic curriculum of any scientific graduated student, is required. The aim of the book is to provide all the basic scientific knowledge and technical tools needed to start projecting and developing a modern sample survey.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2014
• Langue: anglais
• ISBN 10: 384653191X
• ISBN 13: 9783846531914
• Reliure: Broché
• Nombre de pages: 116
• Coordonnées du fabricant: non disponible
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