• Alle Preisangaben inkl. MwSt.
Nur noch 3 auf Lager (mehr ist unterwegs).
Verkauf und Versand durch Amazon.
Geschenkverpackung verfügbar.
Design and Analysis of Ex... ist in Ihrem Einkaufwagen hinzugefügt worden
+ EUR 3,00 Versandkosten
Gebraucht: Gut | Details
Verkauft von Deal DE
Zustand: Gebraucht: Gut
Kommentar: Dieses Buch ist in gutem, sauberen Zustand. Seiten und Einband sind intakt.
Ihren Artikel jetzt
eintauschen und
EUR 14,70 Gutschein erhalten.
Möchten Sie verkaufen?
Zur Rückseite klappen Zur Vorderseite klappen
Anhören Wird wiedergegeben... Angehalten   Sie hören eine Probe der Audible-Audioausgabe.
Weitere Informationen
Dieses Bild anzeigen

Design and Analysis of Experiments: International Student Version (Englisch) Taschenbuch – 8. Juni 2012

Alle 2 Formate und Ausgaben anzeigen Andere Formate und Ausgaben ausblenden
Amazon-Preis Neu ab Gebraucht ab
"Bitte wiederholen"
EUR 218,75
EUR 49,01 EUR 108,96
40 neu ab EUR 49,01 4 gebraucht ab EUR 108,96

Hinweise und Aktionen

  • Beim Kauf von Produkten ab 40 EUR erhalten Sie eine E-Mail mit einem 10 EUR Gutscheincode, einlösbar auf ausgewählte Premium-Beauty-Produkte. Diese Aktion gilt nur für Produkte mit Verkauf und Versand durch Amazon.de. Für weitere Informationen zur Aktion bitte hier klicken.

  • Sparpaket: 3 Hörbücher für 33 EUR: Entdecken Sie unsere vielseitige Auswahl an reduzierten Hörbüchern und erhalten Sie 3 Hörbücher Ihrer Wahl für 33 EUR. Klicken Sie hier, um direkt zur Aktion zu gelangen.

Wird oft zusammen gekauft

Design and Analysis of Experiments: International Student Version + Statistische Versuchsplanung: Design of Experiments (DoE) (VDI-Buch)
Preis für beide: EUR 316,74

Die ausgewählten Artikel zusammen kaufen
Jeder kann Kindle Bücher lesen — selbst ohne ein Kindle-Gerät — mit der KOSTENFREIEN Kindle App für Smartphones, Tablets und Computer.


  • Taschenbuch: 752 Seiten
  • Verlag: John Wiley & Sons; Auflage: 8. Auflage (8. Juni 2012)
  • Sprache: Englisch
  • ISBN-10: 1118097939
  • ISBN-13: 978-1118097939
  • Größe und/oder Gewicht: 20,3 x 2,5 x 25,3 cm
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 135.627 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

Mehr über den Autor

Entdecken Sie Bücher, lesen Sie über Autoren und mehr

Welche anderen Artikel kaufen Kunden, nachdem sie diesen Artikel angesehen haben?


4.0 von 5 Sternen
5 Sterne
4 Sterne
3 Sterne
2 Sterne
1 Sterne
Siehe die Kundenrezension
Sagen Sie Ihre Meinung zu diesem Artikel

Die hilfreichsten Kundenrezensionen

Von Derrick Musinga am 7. Juni 2013
Format: Taschenbuch Verifizierter Kauf
Sehr gut geschrieben.Von Inhalt ist es ganz klar auch fuer nicht Mathematiker. Es hat gute Beispiele, Das hielft fuer verstaendnis.
Kommentar War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
Vielen Dank für Ihr Feedback. Wenn diese Rezension unangemessen ist, informieren Sie uns bitte darüber.
Wir konnten Ihre Stimmabgabe leider nicht speichern. Bitte erneut versuchen

Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 26 Rezensionen
16 von 16 Kunden fanden die folgende Rezension hilfreich
Good text... but take the course 27. Juni 2013
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
This is a good textbook if you're taking a course in engineering statistics. It is very thorough and goes farther into the theory than most people might want. As an engineer I think the theory is valuable because it is easy to improperly apply statistical analysis. Overall I think the book is clearly written and provides many real life examples. To some of the other reviewers comment though, real world means an example about a process, but Montgomery tends to be light on telling you how to do the actual analysis. If you're looking for a how to do Minitab (or any other stat software) this isn't for you. If you want to learn about statistical analysis and DOE and how to do it right, then it's a great text.

-Clearly written
-Plenty of examples, though purchase the solutions guide if you've been assigned the homework
-Lots of theory
-Lots of real world examples
-Don't expect to learn an analysis software package

NOTE: If you want the basics of DOE and statistical analysis applied in a practical manner, I would highly recommend the freely available NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/
6 von 6 Kunden fanden die folgende Rezension hilfreich
Clear and Thorough Textbook 3. November 2013
Von William J Jones - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
An excellent text that has greatly reinforced some course material that only provided a very preliminary exposure to design and analysis of experiments. With my initial course work, self-study of this text, and acquisition of a stats package (I'm using JMP) I'm now prepared to advocate the use of design of experiments for a test program in my workplace which I expect will provide a better answer for lower cost and time than our traditional approach of testing one threshold at a time to accept a developmental system. This text book was cited as a valuable resource in a July 2013 internal memo by the U.S. DoD Director of Operational Test and Evaluation which was another reason I chose this book from several alternative texts I'd researched.
5 von 5 Kunden fanden die folgende Rezension hilfreich
Dr. Montgomery's book 31. Juli 2013
Von Miguel M. "amazonholic" - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I used Dr. Montgomery's book as a reference material for his course under Arizona State University's six sigma black belt program. The book starts with a good review of experimental design concepts and inferential statistics. However, I do find his other book, Statistical Process Control, to be a much better inferential stat reference than this one because it does not 'rush thru' the review. Moving to chapter three is where the genius of the author becomes apparent. His approach was to discuss the theoretical aspects of a particular topic, relate it to back inferential statistics, discuss special cases or related topics (like a journal review paper), present problem/s and then show/discuss the solution using either design expert or JMP and diagrams. I cannot find any other better approach. Some of the previous books that I read are kind of 'cookbooks' which shows the reader how to do stuff using some method or software but did not really explain mathematically why it must be done in a particular way. This book did it elegantly. One reviewer mentioned that it is not a good book for hand calculation, which is true, but who does hand calculation these days? I cannot imagine myself pulling a graphing paper and drawing a response surface graph after working on several pages of calculations.

The mathematics is not really hard ... only basic arithmetic and some basic linear algebra is all you need. Integrals/differentials and PDE's are mentioned in the second chapter to describe some functions but that's about it. However, it is important to understand the concepts early and sequentially as the topics build upon each other. For my case, one chapter takes about six hours total to read. The exercises are reasonable and emphasize the important concepts. It took me about 30 min to answer a reasonably challenging question. I would suggest buying the solutions manual to reduce your heartache or erase any doubts although be aware that not all exercises have a solutions in the manual.
8 von 10 Kunden fanden die folgende Rezension hilfreich
Not for everyone "just" interested in the subject 20. Mai 2013
Von Christian Ponce - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
The first time I opened this book it was the fifth edition and I still was an undergrad in food chemistry. There was a lot of math in it and I could not get what it was trying to tell me. The next time I opened this book, I had a graduate diploma in statistics and it was easier for me to get some concepts, but I was not able to fully understand it.

Today, I'm a grad student of Statistics, I have a better background on linear algebra, Mathematical analysis, Probability, DoE and RSM. Concepts, and "symbols" now mean something to me. I can read several pages without stopping to re-read a concept and I fully understand what the author is trying to explain.

If you are interested in DoE, I strongly recommend to start with linear algebra, probability and some inference. Only then, you will be able to fully understand this book.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Good, but needs some practical additions. 1. September 2014
Von Aerospace Engineer - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
I'm having a tough time deciding how many stars to give. On the one hand, this seems the preeminent text on the subject. On the other, the applications problems and examples within the text seem to designed to complicate the analysis of even simple problems. I really don't have any solid criticism nor any solid praise for this text, so I'm kind of in the middle. The main thing I'd like to see is more information on dealing with real world complexity and limitations. Cost, schedule, and available test capability are three real world limitations that are often ignored in text books, yet they are the most important factors in any data analysis.

One comment I have, which seems to be true of most texts now days, is how rapidly they change editions. I've had three courses in the last four years that used this book and now I own three different editions. The actual content changes between them are insignificant, but the subtle relocations and renumbering mean you can't be in a different text than the instructor without lost time chasing down the deltas.
Waren diese Rezensionen hilfreich? Wir wollen von Ihnen hören.