Essentials of Survey Sampling

Primarily intended for undergraduate and postgraduate students of Statistics, this concise textbook on sample surveys provides answers to question such as:
• How the samples are allocated to strater or to clusters?
• Which is the best sampling method?
• How large a sample size should be?
• Will the sample provide the precision that we require?
• How the best results can be obtained at the lower cost?
• How to design and analyze different forms of sample surveys?

The author focusses on using sampling techniques and ideas to solve real problems. This text includes different sampling methods and different sample allocation plans to create the powerful, cost effective survey sample design for your study. It covers a wide range of sampling methods — simple random sampling, stratified sampling and cluster sampling. The book also describes the mathematics involved behind the confidence limits, ratio estimation, sample size and survey precision. Small area estimation, randomized response, network, adaptive sampling, control sampling and permanent random numbers are also discussed in addition to most of the classical topics.

KEY FEATURES
• Topics are introduced in short, easy to understand manner.
• It allows you to create a sampling plan tailored to your research needs.
• Case Studies using data from complicated surveys have been cited.

Besides students, this book on survey sampling would be equally useful for the practitioners as a reference.