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Sampling is a deceptively complex subject, and some academic statisticians have devoted the bulk of their careers to it.

It's not a subject that thrills everyone but is a very important one, and one which seems underappreciated in marketing research and #data science.

Here are some books on or related to sampling I've found helpful:

- Survey Sampling (Kish)
- Sampling Techniques (Cochran)
- Model Assisted Survey Sampling (Särndal et al.)
- Sampling: Design and Analysis (Lohr)
- Practical Tools for Designing and Weighting Survey Samples (Valliant et al.)
- Survey Weights: A Step-by-step Guide to Calculation (Valliant and Dever)
- Complex Surveys (Lumley)
- Hard-to-Survey Populations (Tourangeau et al.)
- Small Area Estimation (Rao and Molina)


The first three are regarded as classics (though still relevant.) Sharon Lohr's book is the friendliest introduction I know of on this subject. Standard marketing research textbooks also give simple overviews of sampling but do not get into depth.

There are also academic journals that feature articles on sampling, such as the Public Opinion Quarterly (AAPOR) and the Journal of Survey #Statistics and Methodology (AAPOR and ASA).

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