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The book is intended to serve as an introductory course in group theory geared towards second-year university students.... Read More >>
As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance... Read More >>
Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical... Read More >>
The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details... Read More >>
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The final chapter introduces R, MATLAB, and Octave toolboxes for copula modeling, enabling students, researchers,... Read More >>
Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of... Read More >>
"In an era defined by the unprecedented proliferation of information, ""The Art of Data Science: Transformative... Read More >>
This book offers an introduction to applied statistics through data analysis, integrating statistical computing... Read More >>
In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners... Read More >>
This book provides a reference for people working in the design, development, and manufacturing of medical devices.... Read More >>
Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map... Read More >>
The easy way to get started coding and analyzing data in the R programming language Statistical Analysis with... Read More >>
"Are you ready to transform the way you handle data, analyze information, and make informed decisions? ""Mastering... Read More >>
