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.
Key Features
- 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
CHAPTER 1 Introduction to statistics
CHAPTER 2 Descriptive statistics
CHAPTER 3 Elements of probability
CHAPTER 4 Random variables and expectation
CHAPTER 5 Special random variables
CHAPTER 6 Distributions of sampling statistics
CHAPTER 7 Parameter estimation
CHAPTER 8 Hypothesis testing
CHAPTER 9 Regression
CHAPTER 10 Analysis of variance
CHAPTER 11 Goodness of fit tests and categorical data analysis
CHAPTER 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
9780123948113; 9780128043172; 9780123749703; 9780123814166
- Chapter 02.pdf
- Chapter 02.ppt
- Chapter 03.pdf
- Chapter 03.ppt
- Chapter 04.pdf
- Chapter 04.ppt
- Chapter 05.pdf
- Chapter 05.ppt
- Chapter 06.pdf
- Chapter 06.ppt
- Chapter 07.pdf
- Chapter 07.ppt
- Chapter 08.pdf
- Chapter 08.ppt
- Chapter 09.pdf
- Chapter 09.ppt
- Chapter 11.pdf
- Chapter 11.ppt
- Chapter 12.pdf
- Chapter 12.ppt
- Chapter 13.pdf
- Chapter 13.ppt
- Chapter 14.pdf
- Chapter 14.ppt
- Instructor Solutions Manual.pdf
- Solution Manual.pdf
Undergraduate and graduate students in statistics, engineering or other sciences
I have studied Sheldon Ross Books in the past and I have no hesitation in adopting this book for my course.
It is one of the pedagogically unique books in terms of the order of the chapters, the explanation of the content, the addition of new sections, and the selection of questions and sample questions with solutions. Definitely one of the reference books I recommend to my students in my probability and statistics classes.
Sehr gutes Buch; schade, dass zu den letzten Kapitel keine Folien existieren.
The approach to R makes this book very attractive