Probability and statistics

Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists.

Inequalities and Extremal Problems in Probability and Statistics: Selected Topics presents various kinds of useful inequalities that are applicable in many areas of mathematics, the sciences, and engineering.

Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller.

This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics.

The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solveproblems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems.

This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies.

This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes - which can be e.

This book presents a collection of selected papers that represent the current variety of research on the teaching and learning of probability.

This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "e;Epidemiology and Biostatistics, 2nd Edition"e;.

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017.

This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017.

This book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions-that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs.

The book gathers contributions from the fourth conference on Information Geometry and its Applications, which was held on June 12-17, 2016, at Liblice Castle, Czech Republic on the occasion of Shun-ichi Amari's 80th birthday and was organized by the Czech Academy of Sciences' Institute of Information Theory and Automation.

This book presents covariance matrix estimation and related aspects of random matrix theory.

This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN).

This book presents the proceedings of the international conference Particle Systems and Partial Differential Equations V, which was held at the University of Minho, Braga, Portugal, from the 28th to 30th November 2016.

This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration.

This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments.

This book focuses on how to appropriately plan and develop a Phase II program, and how to design Phase II clinical trials and analyze their data.

  This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an important aspect of stochastic control.

This book comprises the proceedings of the 4th International Conference on Computational Engineering (ICCE 2017), held in Darmstadt, Germany on September 28-29, 2017.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.

This book highlights major quantitative and qualitative methods and approaches used in the field of urban analysis.

This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data.

This is the first book to provide a systematic description of statistical properties of large-scale financial data.

Taking continuous-time stochastic processes allowing for jumps as its starting and focal point, this book provides an accessible introduction to the stochastic calculus and control of semimartingales and explains the basic concepts of Mathematical Finance such as arbitrage theory, hedging, valuation principles, portfolio choice, and term structure modelling.

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs).

This volume advocates accurate case outcome prediction that does not rely on symmetric modeling.

This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners.

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic presentation of the subject.

This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems.

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods.

This book assesses various intelligent-city evaluation systems around the globe, and subsequently combines that assessment with local-government and enterprise practices to create an evaluation index system for quantifying the Intelligent City concept.

The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place.

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes.

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

This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2019, held in Milan, Italy, in September 2019.

This book explores nonparametric statistical process control.

This book constitutes the refereed proceedings of the 10th International Symposium on Algorithmic Game Theory, SAGT 2017, held in L'Aquila, Italy, in September 2017.

This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held in Luxembourg, in October 2017.

This book constitutes the refereed proceedings of the Third International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2017, which was held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

An overview of the asymptotic theory of optimal nonparametric tests is presented in this book.

The purpose of this book is to present systematically all known mathematical results on Gibbs measures on Cayley trees (Bethe lattices).

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack.

This is a development of the book entitled Multidimensional Second Order Stochastic Processes.

Written by renowned experts in the field, this reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications.

Interacting particle systems are Markov processes involving infinitely many interacting components.

This is a book of elementary probability theory that includes a chapter on algorithmic randomness.

Chance rules our daily lives in many different ways.