Statistics for Scientists and Engineers:
This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This is an introductory textbook on probability and...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken
John Wiley & Sons, Incorporated
2015
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Zusammenfassung: | This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This is an introductory textbook on probability and statistics. The authors explain theoretical concepts in a step-by-step manner and provide practical examples. The introductory chapter in this book presents the basic concepts. Next, the authors discuss the measures of location, popular measures of spread, and measures of skewness and kurtosis. Probability theory, discrete distributions, and important continuous distributions that are often encountered in practical applications are analyzed. Mathematical Expectation is covered, along with Generating Functions and Functions of Random Variables. It discusses joint distributions, and novel methods to find the mean deviation of discrete and continuous statistical distributions. Provides insight on coding complex algorithms using the 'loop unrolling technique' Covers illuminating discussions on Poisson limit theorem, central limit theorem, mean deviation generating functions, CDF generating function and extensive summary tables Contains extensive exercises at the end of each chapter and examples from interdisciplinary fields Statistics for Scientists and Engineers is a great resource for students in engineering, physical sciences, and management, and also practicing engineers who require skill sets to model practical problems in a statistical setting |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (600 pages) |
| ISBN: | 9781119047186 9781118228968 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Shanmugam, Ramalingam |
| author_facet | Shanmugam, Ramalingam |
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| dewey-full | 510 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 510 - Mathematics |
| dewey-raw | 510 |
| dewey-search | 510 |
| dewey-sort | 3510 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV044050560 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:42:12Z |
| institution | BVB |
| isbn | 9781119047186 9781118228968 |
| language | English |
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| oclc_num | 904194563 |
| open_access_boolean | |
| physical | 1 online resource (600 pages) |
| psigel | ZDB-30-PAD |
| publishDate | 2015 |
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| publisher | John Wiley & Sons, Incorporated |
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| spelling | Shanmugam, Ramalingam Verfasser aut Statistics for Scientists and Engineers 1st ed Hoboken John Wiley & Sons, Incorporated 2015 © 2015 1 online resource (600 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources This book provides the theoretical framework needed to build, analyze and interpret various statistical models. It helps readers choose the correct model, distinguish among various choices that best captures the data, or solve the problem at hand. This is an introductory textbook on probability and statistics. The authors explain theoretical concepts in a step-by-step manner and provide practical examples. The introductory chapter in this book presents the basic concepts. Next, the authors discuss the measures of location, popular measures of spread, and measures of skewness and kurtosis. Probability theory, discrete distributions, and important continuous distributions that are often encountered in practical applications are analyzed. Mathematical Expectation is covered, along with Generating Functions and Functions of Random Variables. It discusses joint distributions, and novel methods to find the mean deviation of discrete and continuous statistical distributions. Provides insight on coding complex algorithms using the 'loop unrolling technique' Covers illuminating discussions on Poisson limit theorem, central limit theorem, mean deviation generating functions, CDF generating function and extensive summary tables Contains extensive exercises at the end of each chapter and examples from interdisciplinary fields Statistics for Scientists and Engineers is a great resource for students in engineering, physical sciences, and management, and also practicing engineers who require skill sets to model practical problems in a statistical setting Mathematik Statistik Mathematical statistics Mathematics Statistics Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s 1\p DE-604 Chattamvelli, Rajan Sonstige oth Erscheint auch als Druck-Ausgabe Shanmugam, Ramalingam Statistics for Scientists and Engineers 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Shanmugam, Ramalingam Statistics for Scientists and Engineers Mathematik Statistik Mathematical statistics Mathematics Statistics Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 |
| title | Statistics for Scientists and Engineers |
| title_auth | Statistics for Scientists and Engineers |
| title_exact_search | Statistics for Scientists and Engineers |
| title_full | Statistics for Scientists and Engineers |
| title_fullStr | Statistics for Scientists and Engineers |
| title_full_unstemmed | Statistics for Scientists and Engineers |
| title_short | Statistics for Scientists and Engineers |
| title_sort | statistics for scientists and engineers |
| topic | Mathematik Statistik Mathematical statistics Mathematics Statistics Statistik (DE-588)4056995-0 gnd |
| topic_facet | Mathematik Statistik Mathematical statistics Mathematics Statistics |
| work_keys_str_mv | AT shanmugamramalingam statisticsforscientistsandengineers AT chattamvellirajan statisticsforscientistsandengineers |