Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solvi......more

Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solvi......more

Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use......more

Data visualization in the transformation of healthcare industries.- Emerging Healthcare Problems in High Dimensional Dat......more

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This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk ma......more

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This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical......more

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This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergradu......more

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To cope with the new running conditions in the ALICE experiment at the Large Hadron Collider at CERN, a new integrated c......more

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This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and......more

Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This boo......more

Computational analysis of natural science experiments often confronts noisy data due to natural variability in environme......more

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This book analyses the models for major risks related to flight safety in the aviation sector and presents risk estimati......more

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The main result of this book is a proof of the contradictory nature of the Navier‒Stokes problem (NSP). It is proved tha......more

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This book presents a general framework analysis of sovereignty in blockchain based on the concept of blockchain technolo......more

This edited collection brings together internationally recognized experts in a range of areas of statistical science to ......more

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Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our kn......more

This book provides an introduction to basic topics in Real Analysis and makes the subject easily understandable to all l......more

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The original work by M.D. Sturge has been updated and expanded to include new chapters covering non-equilibrium and biol......more

Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach describes a philosophy of ef......more

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Improvements in safety in the air and in space can be achieved through better ergonomics, better work environments, and ......more

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for gr......more

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series dis......more

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Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data......more

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries ......more

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores sta......more

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Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that invo......more

A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R pro......more

Spatio-Temporal Methods in Environmental Epidemiology with R, like its first Edition, explores the interface between env......more

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Cancer is a major healthcare burden across the world and impacts not only the people diagnosed with various cancers but ......more

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This book has been prepared to help psychiatrists expand their knowledge of statistical methods and fills the gaps in th......more

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This volume, Statistical Methods in Psychiatry Research and SPSS, now going into its second edition, has been helping ps......more

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This book constitutes revised selected papers from the International Workshops held at the Second International Conferen......more

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clin......more

This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of p......more

Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that ......more

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume......more

Master GIS Applications on Modelling and Mapping the Risks of Diseases Infections transmitted by mosquitoes, ticks, tria......more

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov mod......more

Praise for the first edition: "One of my biggest complaints when I teach introductory statistics classes is that it take......more

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This book presents the latest developments in both qualitative and quantitative computational methods for reliability an......more

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Introduction.- Nonlinear Systems and the Frequency Domain Representation.- Generalized Associated Linear Equations (GALE......more

High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathem......more

Overview of the Book.- Introduction.- Background.- Reliability Study Overview.- Basic Core Concepts.- Introduction to Pr......more

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The book represents a study guide reciting theoretical basics of radar location and radio navigation systems of air and ......more

This book on counting statistics presents a novel copula-based approach to counting dependent random events. It combines......more

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensi......more

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range......more

Now in its second edition, this book covers two major classes of mixed effects models--linear mixed models and generaliz......more