At what point does the sacrifice to our personal information outweigh the public good? If public policymakers had access......more

At what point does the sacrifice to our personal information outweigh the public good? If public policymakers had access......more

The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subj......more

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This book provides an extensive overview of the principles and methods of sample size calculation and recalculation in c......more

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniqu......more

Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multip......more

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The Mathieu series is a functional series introduced by Émile Léonard Mathieu for the purposes of his research on the el......more

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Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysi......more

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Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewe......more

This book showcases state-of-the-art advances in service science and related fields of research, education, and practice......more

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With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction......more

The book introduces classical inequalities in vector and functional spaces with applications to probability. It develops......more

This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory ......more

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"Overall, this textbook is a perfect guide for interested researchers and students who wish to understand the rationale ......more

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and med......more

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Financial market modeling is a prime example of a real-life application of probability theory and stochastics. This auth......more

Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical re......more

Boundary Value Problems on Time Scales, Volume II is devoted to the qualitative theory of boundary value problems on tim......more

This thesis discusses searches for electroweakly produced supersymmetric partners of the gauge and the Higgs bosons (gau......more

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approac......more

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Preface.- 1 A Brief Introduction.- 2 Selected Matrix Algebra Topics and Results.- 3 Generalized Inverses and Solutions t......more

This book is intended for university seniors and graduate students majoring in probability theory or mathematical financ......more

Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical appl......more

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Essential core elements of mathematics to support early learning, continued development, and as a reference to review du......more

This book includes papers presented at the ISDG12-GTM2019 International Meeting on Game Theory, as a joint meeting of th......more

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The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather t......more

Public-Private Partnerships (PPP or 3Ps) allow the public sector to seek alternative funding and expertise from the priv......more

This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algor......more

Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together e......more

This book creatively puts forward the subject nature, object, system, theory, method and application of technical econom......more

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This book gives a concise introduction to the classical theory of stochastic partial differential equations (SPDEs). It ......more

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you ho......more

Based on Fields medal winning work of Michael Freedman, this book explores the disc embedding theorem for 4-dimensional ......more

Chance fills every day of our lives and affects every decision we make. Yet, for something woven so closely into the fab......more

The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionab......more

This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to ......more

This monograph has arisen out of a number of attempts spanning almost five decades to understand how one might examine t......more

The spectral geometry of infinite graphs deals with three major themes and their interplay: the spectral theory of the L......more

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in w......more

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in w......more

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This book presents fundamental concepts of optimization problems and its real-world applications in various fields. The ......more

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, incl......more

This volume features a collection of contributed articles and lecture notes from the XIII Symposium on Probability and S......more

This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes. Th......more

Boundary Value Problems on Time Scales, Volume I is devoted to the qualitative theory of boundary value problems on time......more

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of the MyLab......more

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This monograph provides a concise point of research topics and reference for modeling correlated response data with time......more

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Written in an accessible and clear manner, Straightforward Statistics with Excel(R) 2e by Chieh-Chen Bowen helps student......more

Introduction.- Parametrizations and Basic Properties.- Distributional and Statistical Properties.- Parameter Estimation.......more

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful ......more

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This book focuses on methods that are unsupervised or require minimal supervision-vital in the low-resource domain. Over......more

This book discusses the various aspects of total survey design and shows how survey statisticians can refine adjustment ......more

This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to ide......more

The main focus of this book is presenting practical procedures for improving learning effectiveness using note taking ac......more

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This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential i......more

Operations research (OR) is a core discipline in military and defense management. Coming to the forefront initially duri......more