{"product_id":"introduction-to-probability-and-statistics-for-data-science-with-r-hardback-9781107113046","title":"Introduction to Probability and Statistics for Data Science; with R (Hardback) 9781107113046","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eIntroduction to Probability and Statistics for Data Science\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ewith R\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eFor students in statistics, data science, engineering, and science programs needing a solid course in statistical theory and methods.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eSteven E. Rigdon (Author), Ronald D. Fricker, Jr (Author), Douglas C. Montgomery (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781107113046, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 14 November 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e828 pages\u003cbr\u003e32.5 x 20.9 x 4.4 cm, 1.81 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'Excellent text book on probability and statistics. Highly recommended for computer science and data science students to understand data distribution and experimental validation.' Md Zia Ullah, Edinburgh Napier University\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eIntroduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePart I. Descriptive Statistics \u0026amp; Data Science: 1. Introduction\u003cbr\u003e 2. Descriptive statistics\u003cbr\u003e 3. Data visualization\u003cbr\u003e Part II. Probability: 4. Basic probability\u003cbr\u003e 5. Random variables\u003cbr\u003e 6. Discrete distributions\u003cbr\u003e 7. Continuous distribution\u003cbr\u003e Part III. Classical Statistical Inference: 8. About data \u0026amp; data collection\u003cbr\u003e 9. Sampling distributions\u003cbr\u003e 10. Point estimation\u003cbr\u003e 11. Confidence intervals\u003cbr\u003e 12. Hypothesis testing\u003cbr\u003e 13. Hypothesis tests for two or more samples\u003cbr\u003e 14. Hypothesis tests for discrete data\u003cbr\u003e 15. Regression\u003cbr\u003e Part IV. Bayesian and Other Computer Intensive Methods: 16. Bayesian methods\u003cbr\u003e 17. Time series methods\u003cbr\u003e 18. The jackknife and bootstrap\u003cbr\u003e Part V. Advanced Topics in Inference \u0026amp; Data Science: 19. Generalized linear models and regression trees\u003cbr\u003e 20. Cross-validation and estimates of prediction error\u003cbr\u003e 21. Large-scale hypothesis testing and the false discovery rate\u003cbr\u003e Appendix. More About R.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Maths for computer scientists [\u003ca title=\"See our other books on Maths for computer scientists\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Maths%20for%20computer%20scientists%20%5BUYAM%5D%22\"\u003eUYAM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52502948413720,"sku":"9781107113046","price":133.56,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781107113046i.jpg?v=1786320533","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/introduction-to-probability-and-statistics-for-data-science-with-r-hardback-9781107113046","provider":"Freshly Printed Books","version":"1.0","type":"link"}