Probability & Statistics

Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has f...

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression includin...

New 2017 Cambridge A Level Maths and Further Maths resources to help students with learning and revision. Written for the AQA AS/A Level Further...

This textbook for advanced econometrics students introduces key concepts of dynamic non-stationary modelling. It discusses all the classic topics i...

Statistics in Kinesiology, Fifth Edition With Web Resource, offers students in kinesiology and exercise science programs a unique introduction to t...

This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and scienc...

This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. I...

During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science resear...

Richard De Veaux, Paul Velleman, and David Bock wrote Intro Stats with the goal that you have as much fun reading it as they did in writing it. Mai...

Recently, many books on multiobjective programming have been published. However, only a few books have been published, in which multiobjective prog...

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. I...

This best-selling book remains the most popular stand-alone text for Advanced Level Statistics. It covers the AS and A2 specifications in Statistic...

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational...

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to t...

The fourth edition of this successful text provides an introduction to probability and random processes, with many practical applications. It is ai...

The advent of artificial intelligence (AI) is associated with relevant changes in how we live today. AI has the potential to significantly enhance ...

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation an...

This book presents a unified description of binding equilibrium for a wide variety of systems focusing on acid-base and coordination chemistry, ads...

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods ...

This book focuses on nonlinear investing with a quantamental approach. Pricing relationships in financial markets are often nonlinear, which raises...

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the s...

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the s...

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed p...

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with underg...

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...