This is a textbook for graduate students and research workers in social
statistics and related subject areas. It follows a novel curriculum
developed around the basic statistical activities of sampling,
measurement and inference. Statistics is defined broadly as making
decisions in the presence of uncertainty that arises as a consequence of
limited resources available for collecting information. A connecting
link of the presented methods is the perspective of missing information,
catering for a diverse class of problems that include nonresponse,
imperfect measurement and causal inference. The monograph aims to
prepare the reader for the career of an independent social statistician
and to serve as a reference for methods, ideas for and ways of studying
human populations.