000 02502nam a22002657a 4500
005 20220606160201.0
020 _a9780128243466
040 _cHITLIB
_erda
050 _aTA340
_bROS
100 1 _aRoss, Sheldon M.
_eAuthor
245 1 0 _aIntroduction to probability and statistics for engineers and scientists /
_cSheldon M. Ross
250 _aSixth edition
264 _aLondon, United Kingdom :
_b Academic Press,
_c[2021]
300 _a687 pages :
_billustrations
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
500 _aIncludes index
504 _aIncludes bibliography
505 _aCHAPTER 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
520 _a "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
650 0 _aProbabilities.
650 0 _aMathematical statistics.
942 _2lcc
_cBK
999 _c2812
_d2812