Probability & Statistics

This book constitutes revised papers from the International Workshops held at the 22nd International Conference on Business Process Management, BPM...

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022...

This volume LNCS 15277 constitutes the refereed proceedings of the 18th Ibero-American Conference on AI, IBERAMIA 2024, held in Montevideo, Uruguay...

The book covers all the basics of both the topics. The topics are sequenced in such a manner that there is a flow in understanding the advances. Th...

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decades experience working with indust...

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decades experience working with indust...

This book explains the primary path to success, using software designed to sample and analyze cashflow and then link that analysis, with forecastin...

The book explores a range of mathematical topics essential for application in engineering and applied sciences. It explores both the theoretical an...

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It pro...

This book presents the basic ideas of statistical methods in the design of optimal experiments. This new edition now includes sections on design te...

The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, the...

With this book, which is based on the third edition of a book first written in German about random walks, the author succeeds in a remarkably playf...

With this book, which is based on the third edition of a book first written in German about random walks, the author succeeds in a remarkably playf...

This book constitutes the proceedings of the 11th International Conference on Network Games, Control and Optimization 2024, NETGCOOP 2024, held dur...

Over the course of his distinguished career, Robert Strichartz (1943-2021) had a substantial impact on the field of analysis with his deep, origina...

Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform abou...

After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, s...

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and main...

This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial pro...

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spect...

Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has f...

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression includin...

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the AQA AS/A Level Further...

This textbook for advanced econometrics students introduces key concepts of dynamic non-stationary modelling. It discusses all the classic topics i...

Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to t...

This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and scienc...

This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. I...

During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science resear...

Richard De Veaux, Paul Velleman, and David Bock wrote Intro Stats with the goal that you have as much fun reading it as they did in writing it. Mai...

Recently, many books on multiobjective programming have been published. However, only a few books have been published, in which multiobjective prog...

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. I...

This best-selling book remains the most popular stand-alone text for Advanced Level Statistics. It covers the AS and A2 specifications in Statistic...

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational...

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to t...

The fourth edition of this successful text provides an introduction to probability and random processes, with many practical applications. It is ai...

The advent of artificial intelligence (AI) is associated with relevant changes in how we live today. AI has the potential to significantly enhance ...

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation an...

This book presents a unified description of binding equilibrium for a wide variety of systems focusing on acid-base and coordination chemistry, ads...

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods ...

This book focuses on nonlinear investing with a quantamental approach. Pricing relationships in financial markets are often nonlinear, which raises...

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the s...

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the s...

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed p...

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with underg...