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This work addresses the notion of compression ratios greater than what has been known for random sequential strings in binary and larger radix-based systems as applied to those traditionally found in Kolmogorov complexity.
In A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition, Jenifer Larson-Hall equips readers... Læs mere
This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses.
Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.
This 1989 book is about chaos, fractals and complex dynamics, and is addressed to all people who have some familiarity with... Læs mere
This book is a product of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) to be held in Langkawi in November 2017. Researchers in Computer Science, Mathematics and Statistics can use this book as a sourcebook to enrich their research works.
Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before... Læs mere
Incorporating the use of industry-standard software to help with problem solving, this book explores the subject of vibration. With a three degree-of-freedom... Læs mere
This book provides an introduction to quantitative marketing with Python. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS;