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Sheldon M. Ross

Autor(a) de A First Course in Probability

27 Works 1,213 Membros 2 Críticas 1 Favorited

About the Author

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 mostrar mais 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. mostrar menos
Image credit: via USC - Viterbi School of Engineering

Séries

Obras por Sheldon M. Ross

A First Course in Probability (1976) 453 exemplares
Introduction to Probability Models (1972) 306 exemplares
Simulation (1996) 64 exemplares
Stochastic Processes (1982) 52 exemplares
Introductory Statistics (1996) 20 exemplares
A Second Course in Probability (2007) 9 exemplares
A Course in Simulation (1990) 4 exemplares
Introductory Statistics IBM (1995) 3 exemplares

Etiquetado

Conhecimento Comum

Nome canónico
Ross, Sheldon M.
Nome legal
Ross, Sheldon M.
Data de nascimento
1943
Sexo
male
Nacionalidade
USA
Educação
"Stanford University (PhD | Statistics)" (PhD ∙ Statistics)
Ocupações
Professor
Organizações
"Faculty, UC Berkeley"

Membros

Críticas

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.
 
Assinalado
mdimitro | 1 outra crítica | Jan 2, 2024 |
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.
 
Assinalado
kreps | 1 outra crítica | Jul 28, 2006 |

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Estatísticas

Obras
27
Membros
1,213
Popularidade
#21,166
Avaliação
½ 3.7
Críticas
2
ISBN
173
Línguas
6
Marcado como favorito
1

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