Experimental Design : : With Application in Management, Engineering, and the Sciences.

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Nyelv:angol
Megjelenés: Cham : : Springer International Publishing : : Imprint: Springer,, 2018
Kiadás:2nd ed. 2018.
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Online elérés:https://doi.org/10.1007/978-3-319-64583-4
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id opac-EUL01-000979354
collection e-book
institution L_200
EUL01
spelling Berger, Paul D. szerző aut http://id.loc.gov/vocabulary/relators/aut
Experimental Design : With Application in Management, Engineering, and the Sciences. by Paul D. Berger, Robert E. Maurer, Giovana B. Celli.
2nd ed. 2018.
Cham : Springer International Publishing : Imprint: Springer, 2018
XVIII, 639 p. online forrás, ill.
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
1. Introduction to experimental design -- 2. One-factor designs and the analysis of variance -- 3. Some further considerations on one-factor design and ANOVA -- 4. Multiple-comparison testing -- 5. Orthogonality, orthogonal decomposition, and their role in modern experimental design -- 6 -- Two-factor cross-classification designs -- 7. Nested, or hierarchical, designs -- 8. Designs with three or more factors: Latin-square and related designs -- 9. Two-level factorial designs -- 10. Confounding/blocking in 2k designs -- 11. Two-level fractional-factorial designs -- 12. Designs with factors at three levels -- 13. Introduction to Taguchi methods -- 14. Simple regression -- 15. Multiple and step-wise regression -- 16. Introduction to Response-Surface Methodology -- 17. Introduction to mixture design and triangular surfaces -- 18. Literature on experimental design and discussion.
This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.
Nyomtatott kiadás: ISBN 9783319645827
Nyomtatott kiadás: ISBN 9783319645841
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Mathematical statistics. EUL10000079757 Y
Statistics. EUL10000081563 Y
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
Maurer, Robert E. szerző aut http://id.loc.gov/vocabulary/relators/aut
Celli, Giovana B. szerző aut http://id.loc.gov/vocabulary/relators/aut
SpringerLink (Online service) közreadó testület
Online változat https://doi.org/10.1007/978-3-319-64583-4
EUL01
language English
format Book
author Berger, Paul D., szerző
spellingShingle Berger, Paul D., szerző
Experimental Design : With Application in Management, Engineering, and the Sciences.
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
author_facet Berger, Paul D., szerző
Maurer, Robert E., szerző
Celli, Giovana B., szerző
SpringerLink (Online service), közreadó testület
author2 Maurer, Robert E., szerző
Celli, Giovana B., szerző
author_corporate SpringerLink (Online service), közreadó testület
author_sort Berger, Paul D.
title Experimental Design : With Application in Management, Engineering, and the Sciences.
title_sub With Application in Management, Engineering, and the Sciences.
title_short Experimental Design :
title_full Experimental Design : With Application in Management, Engineering, and the Sciences. by Paul D. Berger, Robert E. Maurer, Giovana B. Celli.
title_fullStr Experimental Design : With Application in Management, Engineering, and the Sciences. by Paul D. Berger, Robert E. Maurer, Giovana B. Celli.
title_full_unstemmed Experimental Design : With Application in Management, Engineering, and the Sciences. by Paul D. Berger, Robert E. Maurer, Giovana B. Celli.
title_auth Experimental Design : With Application in Management, Engineering, and the Sciences.
title_sort experimental design with application in management engineering and the sciences
publishDate 2018
publishDateSort 2018
physical XVIII, 639 p. : online forrás, ill.
edition 2nd ed. 2018.
isbn 978-3-319-64583-4
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276-280
callnumber-raw e-book
callnumber-search e-book
topic Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
topic_facet Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
elektronikus könyv
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
url https://doi.org/10.1007/978-3-319-64583-4
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.5
dewey-sort 3519.5
dewey-raw 519.5
dewey-search 519.5
first_indexed 2023-12-26T23:12:34Z
last_indexed 2023-12-29T19:17:07Z
recordtype opac
publisher Cham : : Springer International Publishing : : Imprint: Springer,
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score 13,36521
generalnotes This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.