Probability and statistics

This book presents modern methods and real-world applications of compositional data analysis.

A Longitudinal Study of Adolescent Growth reports the findings of a longitudinal study of the growth of 200 schoolboys and 100 schoolgirls through the course of adolescence.

The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R.

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s.

Drei Jahre sind vergangen, seit im Januar 1979 auf einer Arbeitstagung der Deutschen Gesellschaft für Medizinische Dokumentation, Informatik und Statistik e.

This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering.

Statistical science s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy.

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years.

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

This book is about abiotic selection in Earth surface systems.

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society’s international conference on “Statistics for Innovation”, SIS 2025, held in Genoa, Italy, June 16-18, 2025.

The statistical analysis of extreme data is important for various disciplines, including hydrology, insurance, finance, engineering and environmental sciences.

A self-contained introduction to the theory of scattered data approximation, suitable for graduates and researchers.

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods.

The aim of this book is to summarize probabilistic safety assessment (PSA) of nuclear power plants with WWER440 reactors and demonstrate that the plants are safe enough for producing energy even in light of the Fukushima accident.

The use of methods of time series analysis in the study of multivariate time series has become of increased interest in recent years.

Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolute risk in counseling patients, devising public health strategies, and clinical management.

This volume opens the world of free probability to a wide variety of readers.

A traditional approach to developing multivariate statistical theory is algebraic.

In this set of notes we study a notion of a random process assoc- ted with a point process.

Thisbook,likemanyotherbooks,wasdeliveredundertremendousinspiration and encouragement from my teachers, research collaborators, and students.

First Published in 2017.

This book summarizes the methods and concepts of Statistical Implicative Analysis (SIA), created by Regis Gras in the 1980s to study, in a new way, the behavioural responses of French pupils to mathematics tests.

Pseudo-Riemannian geometry is, to a large extent, the study of the Levi-Civita connection, which is the unique torsion-free connection compatible with the metric structure.

This book features selected and peer-reviewed lectures presented at the 3rd Semigroups of Operators: Theory and Applications Conference, held in Kazimierz Dolny, Poland, in October 2018 to mark the 85th birthday of Jan Kisynski.

The breadth of information about operations research and the overwhelming size of previous sources on the subject make it a difficult topic for non-specialists to grasp.

Learn about business intelligence (BI) features in T-SQL and how they can help you with data science and analytics efforts without the need to bring in other languages such as R and Python.

Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry.

This book presents the latest developments in the theory and applications of time series analysis and forecasting.

The state-of-the-art of multivariate analysis in sensory science is described in this volume.

This book systematically investigates the Mars entry problem from the perspectives of deterministic optimization, uncertainty optimization, and guidance.

This book describes the modelling of prices of ?

The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017.

The first part of this title contained all statistical tests that are relevant for starters on SPSS, and included standard parametric and non-parametric tests for continuous and binary variables, regression methods, trend tests, and reliability and validity assessments of diagnostic tests.

The book focuses on several skew-normal mixed effects models, and systematically explores statistical inference theories, methods, and applications of parameters of interest.

Candlestick charts are often used in speculative markets to describe and forecast asset price movements.

A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives.

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The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.

This book presents several complex case studies related to water management and planning in the context of pollution, growing demands, and global climate change in Mexico, but which are also relevant for other countries in Latin America.

This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications.

This is the age of data.

Code and Methods for Creating High-Quality Data GraphicsA data graphic is not only a static image, but it also tells a story about the data.

A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general concepts rather than mathematical rigor.

This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research.

This interdisciplinary volume gathers selected, refereed contributions on various aspects of public health from several disciplines and research fields, including the philosophy of science, epidemiology, statistics and ethics.

Computer Arithmetic in Theory and Practice deals with computer arithmetic and the various implementations of the entire arithmetic package on diverse processors, including microprocessors.