Pseudo-Populations Pseudo-Populations

Pseudo-Populations

A Basic Concept in Statistical Surveys

    • $39.99
    • $39.99

Publisher Description

This book emphasizes that artificial or pseudo-populations play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users’ understanding of various aspects in the sampling theory and survey methodology; an example of this scenario is the Horvitz-Thompson estimator. Secondly, statistical procedures exist in which pseudo-populations actually have to be generated. An example of such a scenario can be found in simulation studies in the field of survey sampling, where close-to-reality pseudo-populations are generated from known sample and population data to form the basis for the simulation process.

The chapters focus on estimation methods, sampling techniques, nonresponse, questioning designs and statistical disclosure control.This book is a valuable reference in understanding the importance of the pseudo-population concept and applying it in teaching and research.

GENRE
Science & Nature
RELEASED
2015
September 16
LANGUAGE
EN
English
LENGTH
148
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
2.9
MB
Bayesian and Frequentist Regression Methods Bayesian and Frequentist Regression Methods
2013
Sampling and Estimation from Finite Populations Sampling and Estimation from Finite Populations
2020
Statistical Models for Proportions and Probabilities Statistical Models for Proportions and Probabilities
2013
Applied Statistical Methods Applied Statistical Methods
2022
Statistical Methods for Ranking Data Statistical Methods for Ranking Data
2014
Characterizations of Univariate Continuous Distributions Characterizations of Univariate Continuous Distributions
2017
Fakt oder Fake? Wie Ihnen Statistik bei der Unterscheidung helfen kann Fakt oder Fake? Wie Ihnen Statistik bei der Unterscheidung helfen kann
2022
Datenqualität in Stichprobenerhebungen Datenqualität in Stichprobenerhebungen
2019
Datenqualität in Stichprobenerhebungen Datenqualität in Stichprobenerhebungen
2015
Statistischer Unsinn Statistischer Unsinn
2015
Datenqualität in Stichprobenerhebungen Datenqualität in Stichprobenerhebungen
2013