Introduction to Probability and Statistics for Engineers and Scientists
- 6th Edition - September 11, 2020
- Imprint: Academic Press
- Author: Sheldon M. Ross
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 7 7 4 6 - 4
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 2 4 3 4 6 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 7 7 4 7 - 1
Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers d… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteIntroduction 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.
- Provides the author’s uniquely accessible and engaging approach as tailored for the needs of Engineers and Scientists
- Features examples that use significant real data from actual studies across life science, engineering, computing and business
- Includes new coverage to support the use of R
- Offers new chapters on big data techniques
Undergraduate and graduate students in statistics, engineering or other sciences
CHAPTER 1
Introduction to statisticsCHAPTER 2 Descriptive statistics
CHAPTER 3
Elements of probabilityCHAPTER 4
Random variables and expectationCHAPTER 5
Special random variablesCHAPTER 6
Distributions of sampling statisticsCHAPTER 7
Parameter estimationCHAPTER 8 Hypothesis testing
CHAPTER 9
RegressionCHAPTER 10
Analysis of varianceCHAPTER 11
Goodness of fit tests and categorical data analysisCHAPTER 12 Nonparametric hypothesis tests
CHAPTER 13 Quality control
CHAPTER 14 Life testing
CHAPTER 15 Simulation, bootstrap statistical methods, and permutation tests
CHAPTER 16 Machine learning and big data
- Edition: 6
- Published: September 11, 2020
- No. of pages (Hardback): 704
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128177464
- Hardback ISBN: 9780128243466
- eBook ISBN: 9780128177471
SR
Sheldon M. Ross
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 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.
Affiliations and expertise
Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USARead Introduction to Probability and Statistics for Engineers and Scientists on ScienceDirect