Statistics in Research and Development: Chapman & Hall/CRC Texts in Statistical Science
Autor R. Caulcutten Limba Engleză Paperback – 2 dec 2019
The text is divided into two parts; the first introduces basic but very important statistical techniques whilst the second part presents the modern powerful methods of data analysis that are particularly useful in modern research and development. Problems are provided at the end of each chapter with worked solutions provided at the end of the book. A problem-centered approach is used throughout and care has been taken to choose problems with which the scientist or technologist can identify. The results of the statistical analyses are reinterpreted into the language of the scientist. Mathematics is kept to a minimum and the assumptions underlying each technique are clearly explained. All the techniques introduced are powerful and proven, and commercial computer programs are available for many of them.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 368.14 lei 6-8 săpt. | |
CRC Press – 2 dec 2019 | 368.14 lei 6-8 săpt. | |
Hardback (1) | 992.07 lei 6-8 săpt. | |
CRC Press – 10 oct 1991 | 992.07 lei 6-8 săpt. |
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Specificații
ISBN-13: 9780367450472
ISBN-10: 036745047X
Pagini: 488
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.45 kg
Ediția:2nd edition
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Texts in Statistical Science
ISBN-10: 036745047X
Pagini: 488
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.45 kg
Ediția:2nd edition
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Texts in Statistical Science
Public țintă
ProfessionalCuprins
1. What is statistics? 2. Describing the sample 3. Describing the population 4. Testing and estimation: One sample 5. Testing and estimation: Two samples 6. Testing and estimation: Qualitative data 7. Testing and estimation: Assumptions 8. Statistical process control 9. Detecting process changes 10. Investigating the process-an experiment 11. Why was the experiment not successful? 12. Some simple but effective experiments 13. Adapting the simple experiments 14. Improving a bad experiment 15. Analysis of variance 16. An introduction to Taguchi techniques
Recenzii
"Includes new sections on statistical process control and Taguchi methods. The book is friendly to read...I enjoyed it more than the usual introductory text because of its use, in the early chapters, of a single manufacturing example to set a common context for all the methods presented."
-Short Book Review of the International Statistical Institute
"(The new sections) continue the fine features of the first edition - practical approach, clear explanations, extensive use of chemistry examples, and good problem sets...This remains a very fine book."
-Technometrics
"This book is easy to read and digest, and I liked the author's writing style. It contains a minimal amount of formulas and details about statistical techniques, and instead stresses their applications. The data examples were particularly insightful...Overall, I would recommend this book to individuals intersted in a basic introduction to understanding how statistical techniques can be used to solve industrial problems."
-Journal of Quality Technology
-Short Book Review of the International Statistical Institute
"(The new sections) continue the fine features of the first edition - practical approach, clear explanations, extensive use of chemistry examples, and good problem sets...This remains a very fine book."
-Technometrics
"This book is easy to read and digest, and I liked the author's writing style. It contains a minimal amount of formulas and details about statistical techniques, and instead stresses their applications. The data examples were particularly insightful...Overall, I would recommend this book to individuals intersted in a basic introduction to understanding how statistical techniques can be used to solve industrial problems."
-Journal of Quality Technology
Descriere
This book covers experimental design and the more advanced techniques of data analysis which can be used to assess performance, to compare methods and to control quality. It is useful to anyone concerned with the development or the management of complex processes in any industry.