東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Engineering statistics = an introduc...

Magrab, Edward B.

Linked to FindBook

Google Book

Amazon

博客來

Engineering statistics = an introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering statistics/ by 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:	Engineering - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-031-05010-7
ISBN:	9783031050107

Engineering statistics = an 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

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

646559
Engineering
--Statistical methods.

LC Class. No.: TA340 / .M34 2022

Dewey Class. No.: 620.00727

Engineering statistics = an introduction /
LDR:02369nmm a2200313 a 4500 001 2305056
003 DE-He213
005 20221011190023.0
006 m d
007 cr nn 008maaau
008 230409s2022 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 563026
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 646559
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 3591853
710 2 $a SpringerLink (Online service) $3 836513
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)