Introduction to Probability and Statistics for Engineers and Scientists
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| Produkt | Varenr. | Pris | Handling |
|---|---|---|---|
| Introduction to Probability and Statistics for Engineers and Scientists | 9780128243466 | 799,95 kr | Til butik |
| Introduction to Probability and Statistics for Engineers and Scientists | 9780128243466 | 799,95 kr | Til butik |
Produktdetaljer
Introduction to Probability and Statistics for Engineers and Scientists
799,95 kr
Til butik- Varenr.:
- 9780128243466
Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.
Læs mere hos Saxo DKIntroduction to Probability and Statistics for Engineers and Scientists
799,95 kr
Til butik- Varenr.:
- 9780128243466
Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples. End-of-chapter reviews of materials highlight key ideas, also discussing the risks associated with the practical application of each material. In the new edition, coverage includes information on Big Data and the use of R. This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.
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