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The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems.
The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems.
This book is designed for intermediate learners with a basic understanding of Python. Python programming is broken down here into easily digestible lessons of less than 5 minutes each, following a tried and tested BiteSize approach.
This book is designed for intermediate learners with a basic understanding of Python. Python programming is broken down here into easily digestible lessons of less than 5 minutes each, following a tried and tested BiteSize approach.
Statistical Analytics for Health Data Science with SAS and R Set compiles fundamental statistical principles with advanced analytical... Læs mere
Mathematical Foundations of Artificial Intelligence: Basics of Manifold Theory is the first volume in a two-part series. Together, they establish a unifying mathematical framework based on smooth manifold theory and Riemannian geometry.
Distinct from similar books, unique sections are covered in each chapter such as solution of nonlinear algebraic systems,... Læs mere
The topics covered include, but are not limited to, statistical theory and methods, sampling theory, Bayesian statistics, statistical modeling, computational statistics, classification, data analysis, gender statistics and applied statistics.
This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions.
Every high-profile data breach underlines the need for cybersecurity. A proper understanding of threats, vulnerabilities, and most-likely attacks empowers you to make better decisions and mitigate risks.