Probability & Statistics

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLA...

This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including ran...

A Sound Basis for the Theory of Statistical InferenceMeasuring Statistical Evidence Using Relative Belief provides an overview of recent work on de...

Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using bo...

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned into a ma...

Updated throughout for the second edition, Introduction to Mechanical Engineering: Part 1 continues to be the essential text for all first-year und...

Select the Optimal Model for Interpreting Multivariate DataIntroduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivari...

A Training Tool for the Environmental Risk ProfessionalEnvironmental Risk Analysis: Probability Distribution Calculations defines the role that pro...

Special functions play a very important role in solving various families of ordinary and partial differential equations as well as their fractional...

This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successf...

This book presents a broad range of regression models including count regression models, constrained and penalised regression models such as ridge,...

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective ...

Account for uncertainties and optimize decision-making with this thorough exposition Decision theory is a body of thought and research seeking to a...

In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biosta...

Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. b...

This book constitutes the revised selected papers of the 5th International Workshop on Active Inference, IWAI 2024, held in Oxford, UK, during Sept...

This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to d...

An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, ...

Quantitative Social Science Research in Practice: Generating Novel and Parsimonious Explanatory Models examines quantitative Behavioral Science Res...

Quantitative Social Science Research in Practice: Generating Novel and Parsimonious Explanatory Models examines quantitative Behavioral Science Res...

Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situati...

This book describes some approaches for developing the numerical models to efficiently predict the formation of extreme waves which can pose a thre...

Oftentimes, small groups (called clusters) of individuals (called subunits) are randomized between treatment arms. Typically, clusters are families...

Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysis of discrete data is one o...

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). U...

Need to learn statistics as part of your job, or want help passing a statistics course? Statistics in a Nutshell is a clear and concise introductio...

Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to learn how to perform statistic...

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in ...

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspect...

Mathematical models and computer simulations of complex social systems have become everyday tools in sociology. Yet until now, students had no up-t...

Cost-effectiveness analysis is becoming an increasingly important tool for decision making in the health systems. Cost-Effectiveness of Medical Tre...

A culmination of the authors many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the ...