| Probability & Statistics with R for Engineers and Scientists (Classic Version) Contributor(s): Akritas, Michael (Author) |
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ISBN: 013499535X ISBN-13: 9780134995359 Publisher: Pearson OUR PRICE: $126.65 Product Type: Paperback - Other Formats Published: March 2018 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General |
| Dewey: 519.502 |
| LCCN: 2017059691 |
| Series: Pearson Modern Classics for Advanced Statistics |
| Physical Information: 0.7" H x 8" W x 9.9" (1.94 lbs) 528 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This text grew out of the author's notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the course. In subsequent chapters, these topics are revisited, developed, and formalized, but the early introduction helps students build a true understanding of the concepts. The text utilizes the statistical software R, which is both widely used and freely available (thanks to the Free Software Foundation). However, in contrast with other books for the intended audience, this book by Akritas emphasizes not only the interpretation of software output, but also the generation of this output. Applications are diverse and relevant, and come from a variety of fields. KEY TOPICS: Basic Statistical Concepts; Introduction to Probability; Random Variables and Their Distributions; Jointly Distributed Random Variables; Some Approximation Results; Fitting Models to Data; Condence and Prediction Intervals; Testing of Hypotheses; Comparing Two Populations; Comparing k(> 2) Populations; Multifactor Experiments; Polynomial and Multiple Regression; Statistical Process Control MARKET: for all readers interested in probability and statistics for engineers and scientists, with an emphasis on R software. |