Advances on Models, Characterizations and Applications is timely reference that offers up-to-date information on many recent advances in the field. Comprising fourteen self-contained chapters contributed by internationally renowned experts, it delineates recent developments on the characterizations and other important properties of several distributions, inferential issues related to these models, and several applications of the models to real-world problems. Each chapter is rich with references for further study or more in-depth information on each topic. As a whole, the book reflects the deep importance of the properties of statistical distributions and is a wecome addition to the literature.
• Statistics: A Series of Textbooks and Monographs
Statistical Theory & Methods
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Professional

This is one of two volumes that sets forth invited papers from the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, each representing the ideas of experts, explore a range of areas, including applied probability, models and applications, estimation and testing, robust inference, regression and design, and sample size methodology. They also describe applications of these new ideas in industry, ecology, biology, health, economics, and management. Along with those in probability and statistics, this volume will benefit researchers and graduate students in mathematical analysis.
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Probability Theory & Applications
Statistical Theory & Methods
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At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.
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Statistical Theory & Methods
Probability Theory & Applications
Reference
Professional