Nonresponse and adjustment methods — survey design · Introduction

Introduction

What this guide covers

A comprehensive technical treatise on taxonomy, mathematical bias modeling, missing data mechanisms, weighting, calibration, and multiple imputation.

Overview

Topics covered

Introduction
Non-Response and Adjustment Methods
Taxonomy of Non-Response in Surveys
No Response Error Structure
Probabilistic Non-Response Mechanisms
2.1 Missing Completely At Random (MCAR)

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

R_{ij} = \begin{cases} 1 & \text{If the data} y_{ij} \text{It is observed} \\ 0 & \text{If the data} y_{ij} \text{It is missing} \end{cases}

View LaTeX source

R_{ij} = \begin{cases}
        1 & \text{If the data} y_{ij} \text{It is observed} \\
        0 & \text{If the data} y_{ij} \text{It is missing}
      \end{cases}