Probability and statistics for engineers
Material type:
TextPublication details: New Delhi Wiley India Pvt. Ltd. 2023Description: xiii; 597pISBN: - 9788126512348
- 519.502462 RAV-P
| Item type | Current library | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Computer Science and Engineering | 519.502462 RAV-P (Browse shelf(Opens below)) | Available | 102728 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Computer Science and Engineering | 519.502462 RAV-P (Browse shelf(Opens below)) | Available | 102729 | |||
| Books and Monographs | Central Library, NIT Jalandhar General Stacks | Central Library, NIT Jalandhar | Computer Science and Engineering | 519.502462 RAV-P (Browse shelf(Opens below)) | Available | 102730 |
Browsing Central Library, NIT Jalandhar shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
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| 519.5 RUK-P Probability and Statistics | 519.502462 DEV-P Probability and Statistics for Engineering and the Sciences | 519.502462 RAV-P Probability and statistics for engineers | 519.502462 RAV-P Probability and statistics for engineers | 519.502462 RAV-P Probability and statistics for engineers | 658.403 MOS-B Business intelligence roadmap : The complete project lifecycle for decision-support applications | 658.403 SHA-B Business intelligence and analytics : systems for decision support |
Probability and Statistics for Engineers is written for undergraduate students of engineering and physical sciences. Besides the students of B.E. and B.Tech., those pursuing MCA and MCS can also find the book useful. The book would be equally helpful for six sigma practitioners in industries. Comprehensive yet concise, the text is well-organized in 15 chapters that can be covered in a one-semester course in probability and statistics. Designed to meet the requirements of engineering students, the text covers all important topics, emphasizing basic engineering and science applications.