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A new textbook from statistics royalty that builds on a world-class brand to present core statistical techniques alongside an up-and-coming software created by the authors – JASP.
A new textbook from statistics royalty that builds on a world-class brand to present core statistical techniques alongside an up-and-coming software created by the authors – JASP.
Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. It compiles multiple aspects of applied statistics, teaching useful skills in statistics and computational science.
Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of... Læs mere
This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in... Læs mere
Statistical Trend Analysis of Physically Unclonable Functions first presents a review on cryptographic hardware and hardware-assisted cryptography. Afterwards, the authors present a combined survey and research work on PUFs using a systematic approach.
Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB® applications focuses on the detailed optimization... Læs mere
The book introduces phenomenal growth of data generated by increasing numbers of genome sequencing projects and other... Læs mere
This book offers a wide range of computing and simulation techniques used in interdisciplinary areas of applied engineering in a single volume. It will serve as a... Læs mere
Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.... Læs mere
Dealing with artificial intelligence, this book delineates AI’s role in model... Læs mere