Statistical surveys, however well designed, often find that the resulting sample structure does not always reproduce the population structure accurately.In order to get more accurate estimators for the variables of interest, several methods of sample adjustment can be used. Most common among them are: post-stratification, ratio estimation and regression, which are presented in the article. Whether applied before data collection or afterwards, sample adjustment methods provide better estimations of the parameters of interest
Regression estimation and poststratification are methods used in survey sampling to estimate a popul...
In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting...
The analysis of sample surveys is one of the key areas in official statistics. An integral part of a...
Unit nonresponse happens when no information is collected for a sampled element. This dissertation i...
In this dissertation I provide new theory and methodology to address three important problems in sam...
Nonresponse bias in social survey is a well-known and well-studied issue. Many technics are develope...
Adaptive survey design is a recruitment method that tailors survey protocols to distinctive characte...
Part One (Chapters 2-7) of the thesis illustrates mainly the use of auxiliary information in effecti...
The paper offers a synthesis of several widely used estimation methods in survey sampling from a ra...
In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting ...
The bootstrap approach to statistical inference is described in Efron (1982). The method has wide ap...
none2noThis article discusses some resampling techniques that have found widespread application in ...
Abstract: Weighting adjustment is a standard quasi-randomization approach for survey data subject t...
V této práci se zabýváme převažováním v úloze odhadu úhrnu ve výběrových šetřeních. Cílem převažován...
Survey research is the most frequently used data collection method in Sociology, Political Science, ...
Regression estimation and poststratification are methods used in survey sampling to estimate a popul...
In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting...
The analysis of sample surveys is one of the key areas in official statistics. An integral part of a...
Unit nonresponse happens when no information is collected for a sampled element. This dissertation i...
In this dissertation I provide new theory and methodology to address three important problems in sam...
Nonresponse bias in social survey is a well-known and well-studied issue. Many technics are develope...
Adaptive survey design is a recruitment method that tailors survey protocols to distinctive characte...
Part One (Chapters 2-7) of the thesis illustrates mainly the use of auxiliary information in effecti...
The paper offers a synthesis of several widely used estimation methods in survey sampling from a ra...
In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting ...
The bootstrap approach to statistical inference is described in Efron (1982). The method has wide ap...
none2noThis article discusses some resampling techniques that have found widespread application in ...
Abstract: Weighting adjustment is a standard quasi-randomization approach for survey data subject t...
V této práci se zabýváme převažováním v úloze odhadu úhrnu ve výběrových šetřeních. Cílem převažován...
Survey research is the most frequently used data collection method in Sociology, Political Science, ...
Regression estimation and poststratification are methods used in survey sampling to estimate a popul...
In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting...
The analysis of sample surveys is one of the key areas in official statistics. An integral part of a...