This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand st......more

This book introduces the concept of "bespoke learning", a new mechanistic approach that makes it possible to generate va......more

The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July......more

A health disparity refers to a higher burden of illness, injury, disability, or mortality experienced by one group relat......more

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"Stochastic Processes and their Applications in Artificial Intelligence provides promisingly recent trends in Artificial......more

This open access book prepares current and aspiring analytics professionals to effectively address this need by curating......more

This open access book prepares current and aspiring analytics professionals to effectively address this need by curating......more

Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most imp......more

This book aims at providing an overview of probabilistic logic programming with a special emphasis on languages under th......more

This book provides a broad overview of the state of the art of the research in generative methods for the analysis of so......more

Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics,......more

This book offers an introduction to the field of stochastic analysis of Hermite processes. These selfsimilar stochastic ......more

Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or adv......more

Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or adv......more

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and an......more

This book covers the computational aspects of psychometric methods involved in developing measurement instruments and an......more

With the primary goal of expanding access to spatial data science tools, this book offers dozens of minimal or low-code ......more

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essenti......more

Build and use the most popular time series index available today with Python to search and join time series at the subse......more

Presents the most recent research advances in risk analysis, reliability and maintenance (RRM) and MCDMIntegrates fundam......more

General Linear Model methods are the most widely used in data analysis in applied empirical research. Still, there exist......more

This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the......more

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As b......more

This book is not a research monograph about Malliavin calculus with the latest results and the most sophisticated proofs......more

The objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of ......more

Sample Sizes for Clinical Trials, Second Edition is a practical book that assists researchers in their estimation of the......more

An essential introduction to statistics for students of psychology and the social sciences Statistical thinking is incre......more

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Strange happenstances and chance encounters have puzzled us for centuries. This fun and fascinating book takes readers o......more

Stochastic Differential Equations for Science and Engineering is aimed at students at the M.Sc. and PhD level. The book ......more

Now in its second edition, this accessible text presents a unified Bayesian treatment of state-of-the-art filtering, smo......more

Features Worked examples from the social sciences Clearly written, without mathematical formulae Well-structured, for be......more

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to......more

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to......more

The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. As is well know......more

This text is for an introductory level probability and statistics course with an intermediate algebra prerequisite. The ......more

This text is for an introductory level probability and statistics course with an intermediate algebra prerequisite. The ......more

This SpringerBrief describes the development and use of a synthetic indicator to assess different degrees of sustainabil......more

This volume collects selected papers from the Ninth High Dimensional Probability Conference, held virtually from June 15......more

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This book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing,......more

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This book provides quantitative and applied methodologies in the Covid-19 era exploring important issues in demography, ......more

This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. The ......more

This book compiles theoretical developments on statistical inference for time series and related models in honor of Masa......more

This book is your definitive guide to the rapidly growing role of Quantitative User Experience (Quant UX) Research in pr......more

Fourth edition has new chapters on Bayesian survival analysis and use of the R software. Chapters extensively revised, e......more

The ongoing boom of applications for artificial intelligence (AI) is based on algorithms that were inspired by neuroscie......more

This book gives a brief survey of the theory of multidimensional (multivariate), weakly stationary time series, with emp......more

Gini Inequality Index: Methods and Applications features original high-quality peer-reviewed chapters prepared by intern......more

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Computational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-ma......more

An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (......more

The main objective of this book is to deliver a comprehensive and insightful account of applying mathematical modelling ......more

Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping......more

This textbook provides a straightforward, clear explanation of probability and random variables for communications engin......more

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This reprint focuses on a very important topic in metrology, which is represent by measurement uncertainty. Any good met......more

This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort......more

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This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). T......more

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

The absence of new physics at the TeV scale observed thus far at the Large Hadron Collider (LHC) motivates an increasing......more

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Published under the collective title of Foundations of Quantitative Finance, this set of ten books presents the advanced......more

The book offers an introduction to the technical foundation of decentralized insurance models, for advanced undergraduat......more

This book provides an overview of the role of statistics in Risk Analysis, by addressing theory, methodology and applica......more

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Features - Worked examples - Clear programming code, usable by R novices - Without mathematical formulae - structural eq......more

Features Worked examples from sociology Clearly written, without mathematical formulae Well-structured, for beginners an......more

Features Worked examples from sociology Clearly written, without mathematical formulae Well-structured, for beginners an......more

Features Worked examples from sport Clearly written, without mathematical formulae Well-structured, for beginners and in......more

Features Worked examples from health settings Clearly written, without mathematical formulae Well-structured, for beginn......more

Features Worked examples from health settings Clearly written, without mathematical formulae Well-structured, for beginn......more