This book introduces a modern approach to finite population sampling, focusing on prediction-based inference. It covers classical and model-based sampling methods, calibration techniques, and unequal probability sampling, with practical examples and theoretical insights. A valuable resource for statisticians working in survey methodology and applied statistics.
A comprehensive introductory text bridging special relativity and quantum theory, ideal for advanced undergraduates in physics, materials science, or engineering. Emphasizes clarity with historical context, worked examples, and challenging problems