Probability & statistics books

These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science...  Read More >>

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This book discusses research, methods, and recent developments in the interdisciplinary field that spans research...  Read More >>

This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies...  Read More >>

This volume consists of papers inspired by the special session on pseudo-differential operators at the 10th ISAAC...  Read More >>

The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods...  Read More >>

This monograph aims to promote original mathematical methods to determine the invariant measure of two-dimensional...  Read More >>

This book provides a survey on different kinds of Feistel ciphers, with their definitions and mathematical/computational...  Read More >>

This book highlights the latest advances in engineering mathematics with a main focus on the mathematical models,...  Read More >>

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This book presents an overview of copula theory and its application in hydrology, and provides valuable insights,...  Read More >>

This book provides practical guidance on multiple imputation analysis, from simple to complex problems using real...  Read More >>

Excerpt from Prediction of Spray Behavior Above and Within a Forest Canopy This material is reproduced with the...  Read More >>

Excerpt from Investigations in the Military and Anthropological Statistics of American Soldiers The anthropological...  Read More >>

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Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications:...  Read More >>

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Uses data from golf, long jump, soccer, hockey, NASCAR, and wrestling to illustrate statistical reasoning and data...  Read More >>

Contains key lessons in probability and odds, supplementary counting rules, discrete random variables, and continuous...  Read More >>

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This book presents the state-of-the-art in theory and algorithms for signal recovery under the sparsity assumption....  Read More >>

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