Probability and statistics

This monograph presents a modern treatment of (1) stochastic differential equations and (2) diffusion and jump-diffusion processes.

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics.

The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory.

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time.

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.

Mixed-effects models have found broad applications in various fields.

The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc.

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/Hinfinity theory-based approaches and contemporary stochastic optimization techniques.

This book describes recent trends in growth curve modelling research in various subject areas, both theoretical and applied.

This book discusses significant research findings in the field of mathematical modelling, with particular emphasis on important applied-sciences, health, and social issues.

'Heavy-tailed risk modelling plays a central role in modern risk theory; within this perspective, the book provides an excellent guide concerning problems and solutions in risk theory.

Crafts of Simulation Programs is a collection of tools, techniques and theories required to develop and implement simulation models on a computer.

This volume presents a collection of lecture notes of mini-courses taught at BICMR Summer School of Financial Mathematics, from May 29 to June 9, 2017.

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

This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models.

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas.

This book contains original research papers by leading experts in the fields of probability theory, stochastic analysis, potential theory and mathematical physics.

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7-10 January 2019.

This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology.

This book presents the current status and research trends in Stochastic Analysis.

This book finds a broad domain of relevance in statistics and the social sciences.

This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields.

This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines.

The book presents hands-on protocols for conventional and advanced forensic DNA fingerprinting experiments.

Clinical epidemiology provides the scientific basis for the practice of medicine due to its focus on the diagnosis, prognosis and management of human disease using appropriate research design, measurement and evaluation.

This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection and discusses developments in the field of nanoparticle/inorganic/organic materials development for antiviral application, therapeutic applications, PPE kit formulations and inclusion of simulated data.

Sergio Albeverio gave important contributions to many fields ranging from Physics to Mathematics, while creating new research areas from their interplay.

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R.

The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes.

"e;This is an important book on an important topic.

This book is about the simulation and modeling of novel chaotic systems within the frame of fractal-fractional operators.

A Waterstones Best Popular Science Book of 2023'Delightfully clear and vivid to read.

This book is about the simulation and modeling of novel chaotic systems within the frame of fractal-fractional operators.

This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort, nested case-control and variations of these designs, such as stratified and two-stage designs.

This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort, nested case-control and variations of these designs, such as stratified and two-stage designs.

This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook.

This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook.

Every financial professional wants and needs an advantage.

Every financial professional wants and needs an advantage.

This text provides a concise introduction, suitable for a one-semester special topicscourse, to the remarkable properties of Gaussian measures on both finite and infinitedimensional spaces.

This book presents recent developments in multivariate and robust statistical methods.

This unique book presents decision analysis in the context of mathematical modeling and game theory.

This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial.

The book equips students with the end-to-end skills needed to do data science.

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors.

This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in their career with sufficient work time remaining such that investing in additional learning could be beneficial.

This book presents recent developments in multivariate and robust statistical methods.

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors.

This book provides an analytical and computational approach to solving and simulating the Mahalanobis model and the papers surrounding it.