Probability and statistics

This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2022), jointly organized by the Universidad del Rosario (Bogota, Colombia) and the Universidad Politecnica Salesiana (Cuenca, Ecuador), and as collaborators at the University of Vigo (Galicia, Spain), the University of Santiago de Compostela-Political Research Team (Galicia, Spain), and the Network of Communication Researchers of Ecuador (RICE), during August, 31-September 2, 2022.

This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises.

This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers all over the world in the related fields that Professor Fukushima has made important contributions to.

This book presents best selected papers presented at the 2nd International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2022) to be held from 22 - 23 March 2022 in online mode at C-DAC, Noida, India.

This book puts forward a new mathematical theory to study chaotic phenomenon.

This book is an exploration of the people analytics possibility, bringing out both theoretical frameworks and detailed practical case studies from the author's experience in industry and business across both sides of the table, with an understanding of data science models and SMAC (Social, Mobile & Cloud) technologies underpinning it.

This book highlights the tribological behavior of elastomers by investigating the effect of operating variables such as, the applied load and the abrasive particle size, and the materials' mechanical properties such as, tensile strength, elongation at break, hardness, and tear strength by the experimental, statistical and analytical methods.

This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses.

This book is an easy-to-read reference providing a link between functional analysis and diffusion processes.

This book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus.

This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines.

This book begins with the fundamental large sample theory, estimating ruin probability, and ends by dealing with the latest issues of estimating the Gerber-Shiu function.

This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 7th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2021), held in Malaysia.

This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2-4 January 2020.

This book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021.

This book collects papers presented at the International Conference on Mathematical Modelling and Computational Intelligence Techniques (ICMMCIT) 2021, held at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, from 10-12 February 2021.

This book introduces environmental, social and governance (ESG) investment and clarifies its characteristics as financial securities.

The book comprises three chapters, with each chapter assigned various type data such as time series data, cross sectional data and panel data.

The emerging biotechnologies have significantly advanced the study of biological mechanisms.

This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order asymptotics of tests.

In this book, the optimal transportation problem (OT) is described as a variational problem for absolutely continuous stochastic processes with fixed initial and terminal distributions.

This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field.

This book presents the state of the art in extreme value theory, with a collection of articles related to a seminal paper on the bivariate extreme value distribution written by Professor Masaaki Sibuya in 1960, demonstrating various developments of the original idea over the last half-century.

This book analyses the models for major risks related to flight safety in the aviation sector and presents risk estimation methods through examples of several known aviation enterprises.

Testing for economic convergence across countries has been a central issue in the literature of economic growth and development.

This book highlights the forefront of research on statistical distribution theory, with a focus on unconventional random quantities, and on phenomena such as random partitioning.

This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the estimable parameter.

This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel.

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series.

This book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus.

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.

This book features original research papers presented at the International Conference on Computational and Applied Mathematics, held at the Indian Institute of Technology Kharagpur, India during November 23-25, 2018.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services.

This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models.

This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019.

This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems.

This is the first book to present time series analysis using the SAS Enterprise Guide software.

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This book constitutes the thoroughly refereed proceedings of the National Conference of Theoretical Computer Science, NCTCS 2019, held in Lanzhou, China, in August 2019.

This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models.

This book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the theory of cubature formulas in numerical analysis.

This book introduces readers to statistical methodologies used to analyze doubly truncated data.

This book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints.

This book is a collection of original research and survey articles on mathematical inequalities and their numerous applications in diverse areas of mathematics and engineering.

This book presents recent non-asymptotic results for approximations in multivariate statistical analysis.

The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design.

This book gives a systematic introduction to the basic theory of financial mathematics, with an emphasis on applications of martingale methods in pricing and hedging of contingent claims, interest rate term structure models, and expected utility maximization problems.