Probability & statistics books

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse...  Read More >>

Decision makers at all levels must be exposed to the latest tools and techniques available to help them in the decision...  Read More >>

This book gives a comprehensive account of density-based minimum distance methods and their use in statistical inference....  Read More >>

Scientific knowledge is doubling every 10 to 15 years worldwide. Who generates this knowledge? Where is this information...  Read More >>

The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation,...  Read More >>

Focusing on the modeling, analysis, and management of risk in today’s complex engineering enterprise systems, this...  Read More >>

Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia,...  Read More >>

This book describes the foundation processes and analytical practices for identifying, analyzing, measuring, and...  Read More >>

This second edition reflects recent developments and regulatory positions on the use of adaptive designs in clinical...  Read More >>

Updated and expanded to reflect the recent trends and challenges in pharmaceutical statistics, this third edition...  Read More >>

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations...  Read More >>

Bringing together all the relevant material to impart a clear understanding of how to analyze ROC curves, this book...  Read More >>

Modern Statistical, Systems, and GPSS Simulation, Second Edition introduces the theory and implementation of discrete-event...  Read More >>

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This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions...  Read More >>

Introduction to Spatial Econometrics presents a variety of regression methods for analyzing spatial data samples...  Read More >>

A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed...  Read More >>

While regression models have become standard tools in medical research, understanding how to properly apply the...  Read More >>

Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This...  Read More >>

The author focuses on applications, as necessary, to help readers thoroughly understand the statistical properties...  Read More >>

This work describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct...  Read More >>

Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, this...  Read More >>

The objective is to prepare students and scientists to analyze genomics data using empirical Bayes methods and to...  Read More >>

Offering a unique balance between applications and calculations, this book incorporates the application background...  Read More >>

While many financial engineering books are available, the statistical aspects behind the implementation of stochastic...  Read More >>