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Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, hypothesis testing, and more. This updated edition also features new and revised coverage of modern statistical methods, a new emphasis on applications, and a new emphasis on the fundamentals of probability. Each chapter begins with a set of detailed mathematical examples, and many of the remaining mathematical concepts are covered in mathematical detail, supported by extensive worked examples. A host of additional features for the student and professional alike are found throughout the text, including a section on R, an interactive, open-ended book-oriented learning environment; case studies; new statistical graphics; and numerous new examples and figures. Probability: An Introduction with Statistical Applications, Second Edition is intended for students and practitioners of statistics, mathematics, computer science, and engineering who need a clear, concise introduction to this important branch of mathematics. Emphasizing both the practical and mathematical aspects of probability and statistics, the text is ideal for undergraduate and graduate students studying statistics, applied mathematics, computer science, and engineering.
This is the fourth edition of Joseph-Lucie Roy's best-selling Probability: An Introduction with Statistical Applications. With this new edition, the author has updated the text to reflect current developments in statistical methods, including coverage of current R and S-Plus software and an emphasis on modern applications, including signal and image processing, genomics, and social sciences. Roy also adds a new chapter on using R for exploratory data analysis, with a new emphasis on accessing, manipulating, and visualizing data using open-source tools. The book also includes an expanded chapter on confidence intervals (CIs), along with coverage of more modern methods for testing the accuracy of CIs. The text includes several new sections on understanding statistical concepts, including the basics of probability, the basics of R, and statistical modeling, as well as an expanded chapter on conditional probability. Roy has also addressed several other changes, including the addition of a new chapter on Bayesian statistics, a new appendix covering the basics of R, and a new reference list. The text has been completely updated to reflect the current state of the art in statistical methods, and readers will find a host of new examples, figures, and other features throughout the text. This edition includes significant new content on the basics of R, the basics of S-Plus, and statistical modeling.
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