Probability and statistics

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner.

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data.

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications.

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the most important classes of stochastic processes used in the modeling of diverse systems.

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models.

Anwender, die mit Hilfe statistischer Verfahren experimentell ermittelte Resultate auswerten und grafisch darstellen wollen, finden in diesem Buch ein nützliches Werkzeug.

Geospatial health data are essential to inform public health and policy.

This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.

Dynamic tools of analysis and modelling are increasingly used in Economics and Biology and have become more and more sophisticated in recent years, to the point where the general students without training in Dynamic Systems (DS) would be at a loss.

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Practice your way to a higher statistics score The adage that "e;practice makes perfect"e; is never truer than with math problems.

Schrodinger Equations and Diffusion Theory addresses the question "e;What is the Schrodinger equation?

This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data.

All models are lies.

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.

These volumes form an authoritative statement of the current state of research in Operator Algebras.

This book provides a self-contained account of continuous-parameter time series, starting with second-order models.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques.

This proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational science, education research, literature studies, political science, international relations, social media research, and urban studies.

Large-scale data processing is important.

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics.

Easy access to simple, reliable definitions and explanations of modern statistical and statistics-related concepts.

Focusing on the transnational LGBT movement that has gained unprecedented momentum, this study is a timely contribution to debates both scholarly and popular.

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power.

Economic evaluation has become an essential component of clinical trial design to show that new treatments and technologies offer value to payers in various healthcare systems.

Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse.

This proceedings volume highlights the latest research and developments in psychometrics and statistics.

A guide to implementing and operating a practical reliability program using carefully designed experiments to provide information quickly, efficiently and cost effectively.

Today, scientists are expected to be more accountable and transparent than at any other time in history.

This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016.

This book provides an overview of the commonly used statistical methodology.

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

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine.

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Why does the World Need-Excel Data Analysis, Modeling, and Simulation?

This IMA Volume in ~athematics and its Applications PERCOLATION THEORY AND ERGODIC THEORY OF INFINITE PARTICLE SYSTEMS represents the proceedings of a workshop which was an integral part of the 19R4-85 IMA program on STOCHASTIC DIFFERENTIAL EQUATIONS AND THEIR APPLICATIONS We are grateful to the Scientific Committee: naniel Stroock (Chairman) Wendell Fleming Theodore Harris Pierre-Louis Lions Steven Orey George Papanicolaoo for planning and implementing an exciting and stimulating year-long program.

The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines.

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applicationsSecond edition now also available in Paperback.

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The first half of the book is aimed at quantitative research workers in biology, medicine, ecology and genetics.