| 000 -LEADER |
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| fixed length control field |
02477 a2200253 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250908125207.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250904b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| ISBN |
9789351073987 |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.2 ROS/I |
| 100 ## - MAIN ENTRY--AUTHOR NAME |
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| Personal name |
Ross, Sheldon M. |
| 245 ## - TITLE STATEMENT |
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| Title |
Introduction to probability and statistics for engineers and scientists |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
6th ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher |
Elsevier (RELX India) |
| Place of publication |
New Delhi |
| Year of publication |
c2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Number of Pages |
xvi, 687p.; 24cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Table of Contents:<br/><br/>CHAPTER 1 Introduction to statistics<br/>CHAPTER 2 Descriptive statistics<br/>CHAPTER 3 Elements of probability<br/>CHAPTER 4 Random variables and expectation<br/>CHAPTER 5 Special random variables<br/>CHAPTER 6 Distributions of sampling statistics<br/>CHAPTER 7 Parameter estimation<br/>CHAPTER 8 Hypothesis testing<br/>CHAPTER 9 Regression<br/>CHAPTER 10 Analysis of variance<br/>CHAPTER 11 Goodness of fit tests and categorical data analysis<br/>CHAPTER 12 Nonparametric hypothesis tests<br/>CHAPTER 13 Quality control<br/>CHAPTER 14 Life testing<br/>CHAPTER 15 Simulation, bootstrap statistical methods, and permutation tests<br/>CHAPTER 16 Machine learning and big data |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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.<br/><br/>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.<br/><br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Mathematics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Term |
Probabilities |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Applied mathematics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Term |
Statistical mathematics |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://doi.org/10.1016/C2018-0-02166-0 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Book |
