Probability and statistics

This work explains the purpose of statistical methods in medical studies and analyzes the statistical techniques used by clinical investigators, with special emphasis on studies published in "e;The New England Journal of Medicine"e;.

This essential textbook provides an integrated treatment of data analysis for the social and behavioral sciences.

This monograph develops the Gaussian functional capacity theory with applications to restricting the Gaussian Campanato/Sobolev/BV space.

What are the chances?

Georg Zimmermann provides a mathematically rigorous treatment of basic survival analytic methods.

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists.

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications.

These proceedings address the latest developments in the broad area of intelligent construction integrated in the mission of the International Society for Intelligent Construction (ISIC) which aims to promote intelligent construction technologies applications from the survey, design, construction, operation, and maintenance/rehabilitation by adapting to changes of environments and minimizing risks.

This carefully written monograph covers the Sparre Andersen process in an actuarial context using the renewal process as the model for claim counts.

The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis.

This book focuses on the fundamental principles behind scientific methods.

This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference 'Stochastic Partial Differential Equations and Related Fields' hosted by the Faculty of Mathematics at Bielefeld University, October 10-14, 2016.

Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.

All new medicines and devices undergo early phase trials to assess, interpret and better understand their efficacy, tolerability and safety.

Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials.

From a review of the first edition: "e;Modern Data Science with R.

"e;Stochastic Tools in Mathematics and Science"e; covers basic stochastic tools used in physics, chemistry, engineering and the life sciences.

"e;If you torture the data long enough, Nature will confess,"e; said 1991 Nobel-winning economist Ronald Coase.

This volume LNCS 15277 constitutes the refereed proceedings of the 18th Ibero-American Conference on AI, IBERAMIA 2024, held in Montevideo, Uruguay, during November 13-15, 2024.

A concise introduction covering all of the measure theory and probability most useful for statisticians.

This volume records and disseminates selected papers from the Stinson66 conference, including surveys, prospectives, and papers presenting original and current research.

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas.

This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections.

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.

Im Laufe der Jahrhunderte wurde in der Stochastik und in der in ihr verwendeten Kombinatorik eine Vielzahl von Problemen aufgeworfen, und diese höchst geistreich gelöst.

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications.

This book brings together the latest findings in the area of stochastic analysis and statistics.

With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape.

This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties.

As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics.

The third edition of this authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) - also known as Biometric Anti-Spoofing.

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach.

"e;Conjoint measurement is one of the most significant and most widely recognized methods in science as well as in practice for analyzing marketing problems.

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC)  without assuming advanced knowledge of mathematics and programming.

Der "Sachs" ist das Standardwerk zum Lernen, Anwenden und Nachschlagen statistischer Methoden.

This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems.

This book constitutes the proceedings of the 16th International Conference on Information Technologies and Mathematical Modelling, ITMM 2017, held in Kazan, Russia, in September/October 2017.

This book explores minimum divergence methods of statistical machine learning for estimation,  regression, prediction, and so forth,  in which we engage in information geometry to elucidate their intrinsic properties of the corresponding loss functions, learning algorithms, and statistical models.

Preface to the English edition xiii Basic notations xv Introduction xvii amPl'ER 1.

This book discusses recent theoretical developments in agglomerative hierarchical clustering.

This introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics and researchers using statistical methods.

Commonly there is no natural place in a traditional curriculum for mathematics or statistics, where a bridge between theory and practice fits into.

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining.

A long time ago I started writing a book about Markov chains, Brownian motion, and diffusion.

Explore Theory and Techniques to Solve Physical, Biological, and Financial Problems Since the first edition was published, there has been a surge of interest in stochastic partial differential equations (PDEs) driven by the Levy type of noise.

Analysis, assessment, and data management are core competencies for operation research analysts.

Our book introduces a method to evaluate the accuracy of trend estimation algorithms under conditions similar to those encountered in real time series processing.