Probability and statistics

Introduction to Probability Models, Ninth Edition, is the primary text for a first undergraduate course in applied probability.

Biostatistics, Second Edition, is a user-friendly guide on biostatistics, which focuses on the proper use and interpretation of statistical methods.

Mixing up various disciplines frequently produces something that are profound and far-reaching.

Mental Chronometry (MC) comprises a variety of techniques for measuring the speed with which the brain processes information.

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining.

The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance.

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view.

Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date.

Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance.

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining.

The second edition of Advanced Data Science and Analytics with Python reflects the rapid transformation of artificial intelligence in recent years.

This book takes an approach that leverages methods using time series analysis, machine learning, and stochastic models to effectively forecast solar power.

This book takes an approach that leverages methods using time series analysis, machine learning, and stochastic models to effectively forecast solar power.

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