Various sampling designs are reviewed within the framework of probability sampling. SAS® code to estimate means and proportions, and their standard errors, using different sampling designs are illustrated using example data sets
Effective estimation and inference, when the data are collected using complex survey designs, requir...
Paper presented at a Scottish Social Survey Network Master Class, addressing the implications of com...
Sophisticated sampling designs can save money, provide more accurate answers, and answer questions t...
In producing estimates from sample surveys, it is essential to quantify the extent of sampling error...
Have you ever worked with survey data that are based on a stratified, clustered or complex sample de...
The goal of this book is to put an array of tools at the fingertips of students, practitioners, and ...
Suppose we have a finite population U of N units, with (possibly a vector of) measurements yj, and w...
>Magister Scientiae - MScMost standard statistical techniques illustrated in text books assume that ...
Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only ...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
This work documents our understanding of and best practice recommendations for specifying complex sa...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This paper presents practical guidance on three common survey data analysis techniques: repeated rep...
We give a brief overview of common sampling designs used in a survey setting, and introduce the prin...
Effective estimation and inference, when the data are collected using complex survey designs, requir...
Paper presented at a Scottish Social Survey Network Master Class, addressing the implications of com...
Sophisticated sampling designs can save money, provide more accurate answers, and answer questions t...
In producing estimates from sample surveys, it is essential to quantify the extent of sampling error...
Have you ever worked with survey data that are based on a stratified, clustered or complex sample de...
The goal of this book is to put an array of tools at the fingertips of students, practitioners, and ...
Suppose we have a finite population U of N units, with (possibly a vector of) measurements yj, and w...
>Magister Scientiae - MScMost standard statistical techniques illustrated in text books assume that ...
Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only ...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
This work documents our understanding of and best practice recommendations for specifying complex sa...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This paper presents practical guidance on three common survey data analysis techniques: repeated rep...
We give a brief overview of common sampling designs used in a survey setting, and introduce the prin...
Effective estimation and inference, when the data are collected using complex survey designs, requir...
Paper presented at a Scottish Social Survey Network Master Class, addressing the implications of com...
Sophisticated sampling designs can save money, provide more accurate answers, and answer questions t...
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