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 graduate-level text providing structured and comprehensive exposition across a broad range including non-relativistic QM, many-body theory, quantum electrodynamics, and relativity
This comprehensive text covers the theory and practical implementation of multivariate density estimation. It explores kernel methods, bandwidth selection, and high-dimensional data visualization, offering insights into both statistical theory and computational techniques. Suitable for graduate students, researchers, and professionals in statistics and data science.
he third edition of Mathematical Methods in the Physical Sciences provides a comprehensive introduction to the mathematical techniques commonly used in the physical sciences. It is designed for students who have completed a two- or three-semester introductory calculus course. The book emphasizes the development of problem-solving skills and provides sufficient depth to gain a solid foundation i…