Statistics
Handbook of big data analytics : 1st ed.
Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation ...
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The elements of statistical learning : data mining, inference, and prediction : 2nd ed.
Contents: 1. Introduction; 2. Overview of supervised learning; 3. Linear methods for regression; 4. Linear methods for classification; 5. Basis expansions and regularization; 6. Kernel smoothing methods; 7. Model assessment and selection; 8. Model inference and averaging; 9. Additive models, trees, ...
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Elementary statistics : a step by step approach : a brief version
Elementary statistics: a brief version is for introductory statistics courses with a basic algebra prerequisite. The book is non-theoretical explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. In recent editions Al Bluman has placed ...
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Stats : modeling the world : 2nd ed.
Part 1. Review; Part 2. Review and testing; Part 3. Review and testing; Part 4. Review and testing; Part 5. Review and testing; Part 6. Group project, review, and testing; Part 7. Review and testing.
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Test bank for the practice of statistics : 3rd ed.
Chapter 1. Exploring data; Chapter 2. Describing location in a distribution; Chapter 3. Examining relationships; Chapter 4. More about relationships between two variables; Chapter 5. Producing data; Chapter 6. Probability and simulation; Chapter 7. Random variables; Chapter 8. The binomial and ...
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