Probability and statistics

This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems.

The book contains review articles on recent advances in first-passage phenomena and applications contributed by leading international experts.

The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance.

This unique volume presents the scientific achievements, significant discoveries and pioneering contributions of various academicians, industrialist and research scholars.

This book seeks to bridge the gap between statistics and computer science.

This volume contains original and refereed contributions from the tenth AMCTM Conference (www.

Managers need access to some statistical advice from time to time to help in solving business problems.

Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting.

Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering.

This volume of the Encyclopedia of Complexity and Systems Science, Second Edition is an authoritative single source for understanding and applying the basic tenets of complexity and systems theory, as well as the tools and measures for analyzing complex systems, to the prediction, monitoring, and evaluation of earthquakes, tsunamis, and volcanoes.

This edited collection commemorates the career of Dr.

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

This introductory textbook provides a comprehensive and up-to-date overview of the main issues in contemporary philosophy of social cognition.

This book presents and discusses the numerous measures of test performance that can be derived from 2x2 tables.

This book provides an in-depth account of modern methods used to bound the supremum of stochastic processes.

This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 September 2021.

This textbook teaches some of the basic econometric methods and the underlying assumptions behind them.

This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool.

My dog understands me!

This book presents a unified approach to the problem of inequality, combining results from a variety of research fields - the human life cycle, group dynamics, networks, markets, and economic geography.

This book constitutes the refereed post-conference proceedings of the 12th International Conference on Wireless and Satellite Services, WiSATS 2021, held in Nanjing, China, in September 2020.

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes.

This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology.

This book provides the statistical basis for quantitative risk management by presenting and explaining the most important distributions.

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology.

This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society.

As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation.

Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data.

How much statistics does a clinician, surgeon or nurse need to know?

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry.

Die Nettorisikoprämie als kalkulatorischer Kern der Versicherungsprämie ist für den Wettbewerb von großer Bedeutung.

The main aim of this book is to offer an easy tool to read a scientific article with greater awareness, to understand and evaluate it more thoroughly, and to better plan research.

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.

This volume draws upon one of the first comprehensive studies on the regional variations of services for aging persons in China to provide an empirical and theoretical understanding of the impact of China's rapidly growing aging population on the country's socioeconomic, cultural, and political systems.

The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics.

This book is a detailed introduction to selective maintenance and updates readers on recent advances in this field, emphasizing mathematical formulation and optimization techniques.

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python.

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This book provides a comprehensive treatment of the logic behind hypothesis testing.

This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects.

The Handbook of Regional Science is a multi-volume reference work providing state-of-the-art information, prepared by respected scientists in the field.

This book explores Complex System Governance (CSG)-an emerging field concerned with the design, execution, and evolution of essential functions necessary to ensure continued viability of a system.

This second volume of Research in Computational Topology is a celebration and promotion of research by women in applied and computational topology, containing the proceedings of the second workshop for Women in Computational Topology (WinCompTop) as well as papers solicited from the broader WinCompTop community.

This volume presents a selection of texts that reflects the current research streams in probability, with an interest toward topics such as filtrations, Markov processes and Markov chains as well as  large deviations, Stochastic Partial Differential equations, rough paths theory, quantum probabilities and percolation on graphs.

This book constitutes the refereed proceedings of the 16th International Conference on Learning and Intelligent Optimization, LION 16, which took place in Milos Island, Greece, in June 2022.

This book provides a friendly introduction to the paradigm and proposes a broad panorama of killing applications of the Infinity Computer in optimization: radically new numerical algorithms, great theoretical insights, efficient software implementations, and interesting practical case studies.

This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pardo that can be summarized as Information Theory with Applications to Statistical Inference.