Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to GrΓΆbner bases and a thorough description of their applications to experimental design.
Computational Statistics in Python
β Scribed by it-ebooks
- Publisher
- iBooker it-ebooks
- Year
- 2016
- Tongue
- English
- Series
- it-ebooks-2016
- Category
- Library
No coin nor oath required. For personal study only.
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This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to pro
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If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way,
If you know how to program with Python and also know a little about probability, youβre ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continu