Sampling Algorithms Sampling Algorithms
Springer Series in Statistics

Sampling Algorithms

    • USD 119.99
    • USD 119.99

Descripción editorial

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)

GÉNERO
Ciencia y naturaleza
PUBLICADO
2006
23 de septiembre
IDIOMA
EN
Inglés
EXTENSIÓN
228
Páginas
EDITORIAL
Springer New York
VENTAS
Springer Nature B.V.
TAMAÑO
4.2
MB

Más libros de Yves Tille

Sampling and Estimation from Finite Populations Sampling and Estimation from Finite Populations
2020
Sampling Methods Sampling Methods
2006

Otros libros de esta serie

Ten Projects in Applied Statistics Ten Projects in Applied Statistics
2023
Statistical Foundations, Reasoning and Inference Statistical Foundations, Reasoning and Inference
2021
Linear and Generalized Linear Mixed Models and Their Applications Linear and Generalized Linear Mixed Models and Their Applications
2021
An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
2020
Design of Observational Studies Design of Observational Studies
2020
Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs
2019