Probability & Statistics

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008...

Help students learn about collecting data, constructing graphs, and analyzing statistics with differentiated informational texts designed to suppor...

This monograph is a concise introduction to the stochastic calculus of variations (also known as Malliavin calculus) for processes with jumps. It i...

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators i...

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for c...

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistic...

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties co...

The second edition of Reverse Engineering of Algebraic Inequalities is a comprehensively updated new edition demonstrating the exploration of new p...

Now in its second edition, this book introduces an approach to active system control. This approach, when applied through design and development im...

This book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to...

In Create and Export Tables Using Stata, Michael Mitchell teaches you how to expertly craft custom, publication-quality tables of summary statistic...

Since its introduction by Hans Reichenbach, many philosophers have claimed to refute the idea known as the common cause principle that any surpri...

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large stat...

Fractional calculus is a rapidly growing field of research, at the interface between probability, differential equations, and mathematical physics....

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistic...

An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling br...

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentat...

In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult ...

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computatio...

Learn how to calculate your chances with easy-to-understand explanations of probability Probabilitythe likelihood or chance of an event occurringis...

This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It...

This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulati...

This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology...

This book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address research issues in different disci...

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligenc...

Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology...

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artifici...

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What do...

Statistics in Plain English is a straightforward, conversational introduction to statistics that delivers exactly what its title promises. Each cha...

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or ...

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanatio...

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model...

A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors recently developed approach to i...

This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techn...

This is a comprehensive, practical guide which looks at the advantages and limitations of new data analysis techniques being introduced across publ...

Add the Empirical Likelihood to Your Nonparametric ToolboxEmpirical Likelihood Method in Survival Analysis explains how to use the empirical likeli...

Since a major source of income for many countries comes from exporting commodities, price discovery and information transmission between commodity ...

Explore Important Tools for High-Quality Work in Pharmaceutical SafetyStatistical Methods for Drug Safety presents a wide variety of statistical ap...

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including p...

Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible...

A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors recently developed approach to i...

Urban Informatics: Using Big Data to Understand and Serve Communities introduces the reader to the tools of data management, analysis, and manipula...

Urban Informatics: Using Big Data to Understand and Serve Communities introduces the reader to the tools of data management, analysis, and manipula...

Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along wit...

This book takes the reader through the process of learning and creating data visualisation, following a unique journey with questions every step of...

In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a level wh...