Sampling Techniques

Sampling Techniques: From Fundamentals to Advanced Applications is a comprehensive guide that covers both classical and modern approaches to sampling. Aimed at master's level students and professionals the book blends theory real-world applications and computational tools.It begins with core sampling concepts and classical methods like SRS stratified and cluster sampling then advances to specialized topics including adaptive sampling Bayesian methods and model-assisted techniques. Each chapter includes theorems proofs examples illustrations exercises with solutions and coding practices in R and Python.This book equips readers with the knowledge to design efficient surveys and analyze data in fields such as public health business environment and policy research.