Probability and statistics

Essential Mathematics for Economics covers mathematical topics that are essential for economic analysis in a concise but rigorous fashion.

This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation.

Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to learn how to perform statistical tests, and to understand how and why statistical tests work.

This book provides an in-depth roadmap for qualitative research methods and data analysis across disciplines using ATLAS.

This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems.

This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models.

This book provides a deep understanding of the relationship between machine learning and causal inference.

The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference.

This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations.

This book puts its weight on theoretical issues related to finite mixture models.

This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models.

This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models.

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes.

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montreal, Canada, held on June 22-23, titled "e;Bayesian Statistics, New Generations New Approaches"e;.

This book hosts the results presented at the 6th Bayesian Young Statisticians Meeting 2022 in Montreal, Canada, held on June 22-23, titled "e;Bayesian Statistics, New Generations New Approaches"e;.

"e;Our community has continued to grow exponentially, thanks to those who inspire the next generation.

A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomizati

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes.

In this book, the development process of blockchain algorithms and examples of their applications in different sectors are explored.

This book offers a comprehensive examination of the Cramer-Lundberg model, which is the most extensively researched model in ruin theory.

This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems.

This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models.

Twenty Interviews with Psychometric Society Presidents tells the stories of the people who are the driving forces of psychometric research, teaching and practice.

Twenty Interviews with Psychometric Society Presidents tells the stories of the people who are the driving forces of psychometric research, teaching and practice.

This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing multivariate q-sequences and q-functions.

This book puts its weight on theoretical issues related to finite mixture models.

This book provides an in-depth review of knowledge of the corpus callosum, called white matter or terra incognita, with emphasis on anatomical, embryological, diagnostics, and surgical features.

This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement.

Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research.

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata.

This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports.

This book reviews the potential effect of diet modification, lipids, and carbohydrate consumptions, vitamin supplementation, antioxidants, and nutraceuticals in the prevention and management of Alzheimer's disease.

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata.

This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications.

This book reviews the potential effect of diet modification, lipids, and carbohydrate consumptions, vitamin supplementation, antioxidants, and nutraceuticals in the prevention and management of Alzheimer's disease.

This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports.

This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in today's research.

This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society.

This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the financially excluded sections of society.

This book not only presents essential material to understand fuzzy metric fixed point theory, but also enables the readers to appreciate the recent advancements made in this direction.