Introduction to probability and statistics for engineers and scientists/ by Sheldon M. Ross
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TextPublication details: London, United Kingdom: Academic Press, 2021Edition: 6th edDescription: xvi, 675 p.: ill.; 24 cmISBN: - 9789351073987
- 519.2 ROI
Books
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Statistics Discipline
| Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
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KU Central Library | Rack No. : 35 Shelve No. : A-01 | Reference Section (Non-Issuable Books) | 519.2 ROI 2021 (Browse shelf(Opens below)) | C-3 (I) | Available | 51955 | ||
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KU Central Library | Rack No. : 16 Annex : 01 Shelve No. : A-03 | Reference Section (Non-Issuable Books) | 519.2 ROI 2021 (Browse shelf(Opens below)) | C-1 (NI) | Not For Loan | 51956 | ||
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Books
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KU Central Library | Rack No. : 16 Annex : 01 Shelve No. : A-03 | Reference Section (Non-Issuable Books) | 519.2 ROI 2021 (Browse shelf(Opens below)) | C-2 (NI) | Not For Loan | 51954 |
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| 519.2 ROI 2019 Introduction to probability models / | 519.2 ROI 2019 Introduction to probability models / | 519.2 ROI 2021 Introduction to probability and statistics for engineers and scientists/ | 519.2 ROI 2021 Introduction to probability and statistics for engineers and scientists/ | 519.2076 LIS 2000 Schaum's Outline of Theory and Problems of Probability and Statistics / | 519.402462 CHN 2005 Numerical methods for engineers : with software and programming applications / | 519.4028 HAM 2011 Mastering MATLAB 7 / |
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
Summary:"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."--Amazon.com
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