國立高雄大學圖資館 |

Language: English

Back

Engineering statisticsan introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering statisticsby Edward B. Magrab.
Reminder of title:	an introduction /
Author:	Magrab, Edward B.
Published:	Cham :Springer International Publishing :2022.
Description:	x, 171 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	EngineeringStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-031-05010-7
ISBN:	9783031050107$q(electronic bk.)

Engineering statisticsan introduction /
Magrab, Edward B.

Engineering statisticsan introduction /[electronic resource] :by Edward B. Magrab. - Cham :Springer International Publishing :2022. - x, 171 p. :ill., digital ;24 cm.

This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. The book can be used as an introduction to the subject, to refresh one's knowledge of engineering statistics, to complement course materials, as a study guide, and to provide a resource in laboratories where data acquisition and analysis are performed. Created specifically for the book are 16 interactive graphics (IGs) that can be used to replicate all numerical calculations appearing in the book and many of its figures, numerically evaluate all formulas appearing in tables, solve all exercises, and determine probabilities and critical values for commonly used probability distributions. After downloading a free program, the IGs are ready to use and are self-explanatory in the context of the material.

ISBN: 9783031050107$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05010-7doiSubjects--Topical Terms:

181883
Engineering
--Statistical methods.

LC Class. No.: TA340 / .M34 2022

Dewey Class. No.: 620.00727

Engineering statisticsan introduction /
LDR:02369nmm a2200313 a 4500 001 631520
003 DE-He213
005 20221011190023.0
006 m d
007 cr nn 008maaau
008 230411s2022 sz s 0 eng d
020 $a 9783031050107$q(electronic bk.)
020 $a 9783031050091$q(paper)
024 7 $a 10.1007/978-3-031-05010-7 $2 doi
035 $a 978-3-031-05010-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TA340 $b .M34 2022
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 620.00727 $2 23
090 $a TA340 $b .M212 2022
100 1 $a Magrab, Edward B. $3 559918
245 1 0 $a Engineering statistics $h [electronic resource] : $b an introduction / $c by Edward B. Magrab.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 171 p. : $b ill., digital ; $c 24 cm.
520 $a This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. The book can be used as an introduction to the subject, to refresh one's knowledge of engineering statistics, to complement course materials, as a study guide, and to provide a resource in laboratories where data acquisition and analysis are performed. Created specifically for the book are 16 interactive graphics (IGs) that can be used to replicate all numerical calculations appearing in the book and many of its figures, numerically evaluate all formulas appearing in tables, solve all exercises, and determine probabilities and critical values for commonly used probability distributions. After downloading a free program, the IGs are ready to use and are self-explanatory in the context of the material.
650 0 $a Engineering $x Statistical methods. $3 181883
650 1 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 918920
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-05010-7
950 $a Mathematics and Statistics (SpringerNature-11649)