Probability and statistics

This book is intended for university seniors and graduate students majoring in probability theory or mathematical finance.

This volume consists of a collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a variety of scientific disciplines.

Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot.

This book explores key examples concerning the implementation of information technology and mathematical modeling to solve issues concerning environmental sustainability.

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills.

This book introduces empirical methods for analyzing energy markets.

This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels.

This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences.

This book discusses stochastic game theory and related concepts.

This book first presents an overview of the history of a national character survey by the Institute of Statistical Mathematics that has been conducted for more than 65 years.

This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research.

This compilation focuses on the theory and conceptualisation of statistics and probability in the early years and the development of young children's (ages 3-10) understanding of data and chance.

This book provides the readers with the overall latest research on think tanks, summarizing the characteristics of think tanks, revealing the general laws and internal logic of think tank research, applying systems, dialectical views and operations research, system theory, and cybernetics to the problems existing in the research work of think tanks at home and abroad.

The book covers computational statistics, its methodologies and applications for IoT device.

This introductory book offers a unique and unified overview of symplectic geometry, highlighting the differential properties of symplectic manifolds.

'This is a solid mathematical treatment of some topics in the analysis of change-point models.

The book presents theory and algorithms for secure networked inference in the presence of Byzantines.

This unique volume discusses some recent developments in the theory of spatial branching processes and superprocesses, with special emphasis on spines, Laws of Large Numbers, interactions and random media.

This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before.

This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models.

This book comprehensively reviews the relationship between micronutrients and brain in health and diseases.

'The book provides a comprehensive review of the DRM approach to data fusion.

This book, specifically developed for students of psychology, covers a wide range of topics in statistics and research designs taught in psychology, in particular, and other disciplines like management, sociology, education, home science, and nutrition, in general, in most universities.

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory.

This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations.

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them.

This book belongs to the subject of control and systems theory.

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience.

This book covers all aspects of statistical methods in detail with applications.

This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis.

This volume includes selected technical papers presented at the Forum "e;Math-for-Industry"e; 2018.

This book volume provides complete and updated information on the applications of Design of Experiments (DoE) and related multivariate techniques at various stages of pharmaceutical product development.

This book first provides a review of various aspects of Bayesian statistics.

This book contains a collection of research papers in mathematical finance covering recent advances in arbitrage, credit and asymmetric information risks.

This book is about how extreme and systemic risk can be analyzed in an integrated way.

This textbook presents the basic concepts of linear models, design and analysis of experiments.

This book features selected papers presented at the 2nd International Conference on Advanced Computing Technologies and Applications, held at SVKM's Dwarkadas J.

There are many books on lattice theory in the field, but none interfaces with the foundations of probability.

This book aims to provide a comprehensive statistical picture of the Russian economic development covering the Imperial, Soviet, and New Russian periods.

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research.

This book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory.

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software.

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than relying on knowledge or experience.

This book provides a comprehensive review of industry 4.

This book covers applications of machine learning in artificial intelligence.

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across disciplines understand how to test or validate theoretical models, and build relationships between observed variables.

In commemoration of the bicentennial of the birth of the "e;lady who gave the rose diagram to us"e;, this special contributed book pays a statistical tribute to Florence Nightingale.

This book focuses on the application of data mining techniques in cricket.

This book provides a contemporary treatment of quantitative economics, with a focus on data science.

This book brings together two major trends: data science and blockchains.