Sheldon M. Ross
Auteur van A First Course in Probability
Over de Auteur
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied toon meer probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award. toon minder
Fotografie: via USC - Viterbi School of Engineering
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Werken van Sheldon M. Ross
Instructors Manual for Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, Third… (2004) 1 exemplaar
Introduction to Probability Models, Student Solutions Manual (e-only): Introduction to Probability Models 10th Edition (2010) 1 exemplaar
Introduction to Probability Models, 9TH EDITION 1 exemplaar
Probability 1 exemplaar
Tagged
Algemene kennis
- Geboortedatum
- 1943
- Geslacht
- male
- Nationaliteit
- USA
- Opleiding
- "Stanford University (PhD | Statistics)" (PhD ∙ Statistics)
- Beroepen
- Professor
- Organisaties
- "Faculty, UC Berkeley"
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First Course in Probability, A door Sheldon Ross
A sufficient book to pair with a university course. I found it too often fell back on "present a fact/theorem/&c. and prove it" without explanation, justification or illumination. Maybe too focused on being rigorous and correct for the math major, and just hoping the science major will absorb the information with hundreds of different dry examples.
This is a great text, Each chapter contains dozens of problems. There's even a special section for "theoretical problems". THere are some hints at the back of the book which I definitely needed. Probability is really an unintuitive subject so doing loads of tough problems is a good way to learn.
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