J-Shaped Distributions and Their Applications

Capture the hidden skew in your data with a definitive guide to J-shaped distributions from renowned statistician Mohammad Ahsanullah. This concise, authoritative volume walks you through the theory, estimation, and practical use of J-shaped probability models—an essential resource for anyone working with highly skewed phenomena.

Delve into clear, accessible explanations of the mathematical properties that distinguish J-shaped distributions, accompanied by intuitive examples and applied case studies. You’ll learn robust estimation techniques, goodness-of-fit considerations, and how to choose the right model when confronted with extreme right-tail behavior in datasets. The book balances rigor and readability, making complex ideas approachable for graduate students while offering depth for researchers and industry professionals.

Discover practical applications across disciplines—reliability engineering, survival analysis, income and wealth studies, environmental risk assessment, hydrology, and actuarial science—demonstrating how J-shaped models can improve predictions and decision-making. With globally relevant examples, the material is tailored for practitioners and academics in North America, Europe, Asia, Africa, and beyond.

Whether you’re a statistician, data scientist, econometrician, or policy analyst, this book equips you with tools to model skewed data more effectively and to interpret results with confidence. Add this essential text by Mohammad Ahsanullah to your professional library and elevate your analytical toolkit—order now to bring clarity to asymmetric data and strengthen your applied modeling skills.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.