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

Statistics for chemical and process ...

Shardt, Yuri A. W.

Linked to FindBook

Google Book

Amazon

博客來

Statistics for chemical and process engineers = a modern approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics for chemical and process engineers/ by Yuri A. W. Shardt.
Reminder of title:	a modern approach /
Author:	Shardt, Yuri A. W.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxx, 432 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction to Statistics and Data Visualisation -- Theoretical Foundation for Statistical Analysis -- Regression -- Design of Experiments -- Modelling Stochastic Processes with Time Series Analysis -- Modelling Dynamic Processes Using System Identification Methods -- Using MATLAB for Statistical Analysis -- Using Excel to do Statistical Analysis.
Contained By:	Springer Nature eBook
Subject:	Chemical engineering - Textbooks. - Statistical methods -
Online resource:	https://doi.org/10.1007/978-3-030-83190-5
ISBN:	9783030831905

Statistics for chemical and process engineers = a modern approach /
Shardt, Yuri A. W.

Statistics for chemical and process engineersa modern approach /[electronic resource] :by Yuri A. W. Shardt. - Second edition. - Cham :Springer International Publishing :2022. - xxx, 432 p. :ill. (some col.), digital ;24 cm.

Introduction to Statistics and Data Visualisation -- Theoretical Foundation for Statistical Analysis -- Regression -- Design of Experiments -- Modelling Stochastic Processes with Time Series Analysis -- Modelling Dynamic Processes Using System Identification Methods -- Using MATLAB for Statistical Analysis -- Using Excel to do Statistical Analysis.

A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination. Statistics for Chemical and Process Engineers (second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel and MATLAB and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods. The reader is given a detailed framework for statistical procedures covering: data visualization; probability; linear and nonlinear regression; experimental design (including factorial and fractional factorial designs); and dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB are also available for download. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries, and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.

ISBN: 9783030831905

Standard No.: 10.1007/978-3-030-83190-5doiSubjects--Topical Terms:

3591851
Chemical engineering
--Statistical methods--Textbooks.

LC Class. No.: TP165 / .S53 2022

Dewey Class. No.: 660.015195

Statistics for chemical and process engineers = a modern approach /
LDR:03137nmm a2200337 a 4500 001 2296867
003 DE-He213
005 20220112011637.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030831905 $q (electronic bk.)
020 $a 9783030831899 $q (paper)
024 7 $a 10.1007/978-3-030-83190-5 $2 doi
035 $a 978-3-030-83190-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TP165 $b .S53 2022
072 7 $a TDCB $2 bicssc
072 7 $a SCI013060 $2 bisacsh
072 7 $a TDC $2 thema
082 0 4 $a 660.015195 $2 23
090 $a TP165 $b .S531 2022
100 1 $a Shardt, Yuri A. W. $3 3591850
245 1 0 $a Statistics for chemical and process engineers $h [electronic resource] : $b a modern approach / $c by Yuri A. W. Shardt.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxx, 432 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction to Statistics and Data Visualisation -- Theoretical Foundation for Statistical Analysis -- Regression -- Design of Experiments -- Modelling Stochastic Processes with Time Series Analysis -- Modelling Dynamic Processes Using System Identification Methods -- Using MATLAB for Statistical Analysis -- Using Excel to do Statistical Analysis.
520 $a A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination. Statistics for Chemical and Process Engineers (second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel and MATLAB and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods. The reader is given a detailed framework for statistical procedures covering: data visualization; probability; linear and nonlinear regression; experimental design (including factorial and fractional factorial designs); and dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB are also available for download. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries, and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.
650 0 $a Chemical engineering $x Statistical methods $v Textbooks. $3 3591851
650 0 $a Chemical processes $x Statistical methods $v Textbooks. $3 3591852
650 0 $a Statistics $v Textbooks. $3 584927
650 1 4 $a Chemical Engineering. $3 959567
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 3591853
650 2 4 $a Industrial and Production Engineering. $3 891024
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-83190-5
950 $a Chemistry and Materials Science (SpringerNature-11644)