Mathematical & statistical software books

Dieses Buch ist eine einzigartige Verflechtung von Theorie, Beispielen und Verfahren, die für verantwortungsvolles...  Read More >>

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed...  Read More >>

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Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with...  Read More >>

This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become...  Read More >>

This book gives the practical introduction for medical physics students and clinical physicists to learn MATLAB...  Read More >>

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

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

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

R can be used consistently in the college mathematics classroom. We no longer have to limit ourselves to ``nice''...  Read More >>

This book presents special statistical methods for analyzing data collected by questionnaires. It takes an applied...  Read More >>

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Challenge your brain with math! Using nothing more than basic arithmetic and logic, you'll be thrilled as answers...  Read More >>

This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world...  Read More >>

An essential guide based on the authentic lectures and research on information optics, holography and MATLAB. The...  Read More >>

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business...  Read More >>

This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied...  Read More >>

This book is a timely and critical introduction for people who are interested in what data science is (and isn’t),...  Read More >>

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This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied...  Read More >>

This open access book provides insights into the novel Locally Refined B-spline (LR B-spline) surface format, which...  Read More >>

The author uses his extensive classroom experience to guide students toward deeper understanding of key concepts,...  Read More >>

This book introduces the programming language R and covers the necessary skills to conduct quantitative research...  Read More >>

This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with...  Read More >>

This proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the...  Read More >>