Statistics for Chemical and Process Engineers A Modern Approach /

This book shows the reader how to develop and test models, design experiments and analyse data in ways easily applicable through readily available software tools like MS Excel® and MATLAB®. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text. The re...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Shardt, Yuri A.W (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03776nam a22005055i 4500
001 978-3-319-21509-9
003 DE-He213
005 20151204160345.0
007 cr nn 008mamaa
008 151016s2015 gw | s |||| 0|eng d
020 |a 9783319215099  |9 978-3-319-21509-9 
024 7 |a 10.1007/978-3-319-21509-9  |2 doi 
040 |d GrThAP 
050 4 |a TP155-156 
072 7 |a TDC  |2 bicssc 
072 7 |a SCI013060  |2 bisacsh 
082 0 4 |a 660  |2 23 
100 1 |a Shardt, Yuri A.W.  |e author. 
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 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XXVI, 414 p. 133 illus., 48 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction to Statistics and Data Visualisation -- Theoretical Foundation for Statistical Analysis -- Regression -- Design of Experiments -- System Identification -- Data Mining -- Appendices: A Brief Review of Set Theory and Notation; A Traditional Approach to Ordinary, Linear Least Squares Regression’ A Traditional Approach to Weighted, Linear Least Squares Regression; A Traditional Approach to Factorial Design Analysis; Using Excel for Statistical Analysis; Using MATLAB® for Statistical Analysis. 
520 |a This book shows the reader how to develop and test models, design experiments and analyse data in ways easily applicable through readily available software tools like MS Excel® and MATLAB®. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text. 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 can also be downloaded from extras.springer.com. With its integrative approach to system identification, regression and statistical theory, Statistics for Chemical and Process Engineers 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 Chemistry. 
650 0 |a Chemical engineering. 
650 0 |a Statistics. 
650 0 |a Control engineering. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 1 4 |a Chemistry. 
650 2 4 |a Industrial Chemistry/Chemical Engineering. 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Control. 
650 2 4 |a Industrial and Production Engineering. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319215082 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-21509-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-CMS 
950 |a Chemistry and Materials Science (Springer-11644)