2014 Summer.Fitting models to survey data can be problematic due to the potentially complex sampling mechanism through which the observed data are selected. Survey weights have traditionally been used to adjust for unequal inclusion probabilities under the design-based paradigm of inference, however, this limits the ability of analysts to make inference of a more general kind, such as to characteristics of a superpopulation. The problems induced by the presence of a complex sampling design can be generally contained under the heading of informative sampling. To say that the sampling is informative is to say that the distribution of the data in the sample is different from the distribution of the data in the population. Two major topics ...
We give a brief overview of common sampling designs used in a survey setting, and introduce the prin...
Data have become extremely important in the world today. Information is everywhere, and people are w...
Survey data are generally obtained via a complex sampling design involving clustering, stratificatio...
Includes bibliographical references.2020 Summer.Two topics in the analysis of complex survey data ar...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only ...
Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only ...
In this paper we show that the use of sampling weights when estimating regression models with survey...
The purpose of this paper is to account for informative sampling in fitting time series models, and ...
We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 19...
The purpose of this article is to account for informative sampling in fitting superpopulation model...
The design-approach is evaluated, using a likelihood approach to survey sampling. It is argued that ...
Survey data are an important source of information for modern society. However, the complex structur...
Sampling related to the outcome variable of a regression analysis conditional on covariates is calle...
Sampling related to the outcome variable of a regression analysis conditional on covariates is calle...
We give a brief overview of common sampling designs used in a survey setting, and introduce the prin...
Data have become extremely important in the world today. Information is everywhere, and people are w...
Survey data are generally obtained via a complex sampling design involving clustering, stratificatio...
Includes bibliographical references.2020 Summer.Two topics in the analysis of complex survey data ar...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only ...
Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only ...
In this paper we show that the use of sampling weights when estimating regression models with survey...
The purpose of this paper is to account for informative sampling in fitting time series models, and ...
We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 19...
The purpose of this article is to account for informative sampling in fitting superpopulation model...
The design-approach is evaluated, using a likelihood approach to survey sampling. It is argued that ...
Survey data are an important source of information for modern society. However, the complex structur...
Sampling related to the outcome variable of a regression analysis conditional on covariates is calle...
Sampling related to the outcome variable of a regression analysis conditional on covariates is calle...
We give a brief overview of common sampling designs used in a survey setting, and introduce the prin...
Data have become extremely important in the world today. Information is everywhere, and people are w...
Survey data are generally obtained via a complex sampling design involving clustering, stratificatio...