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Design and analysis of experiments / By Douglas C. Montgomery.

By: Material type: TextTextPublication details: Hoboken: Wiley, c2017.Edition: Ninth editionDescription: xv, 734p.; ill. 25cmISBN:
  • 9781119589068
LOC classification:
  • QA279 .M66 2017
Contents:
Introduction -- Simple comparative experiments -- Experiments with a single factor: The analysis of variance -- Randomized blocks, Latin squares, and related designs -- Introduction to factorial designs -- The 2k factorial design --- Blocking and confounding in the 2k factorial design --Two level fractional factorial designs -- Additional design and analysis topic for factorial and fractional factorial design -- Fitting Regression models -- Response surface methods and designs --Robust parameter design and process robustness studies -- Experiments with random factors -- Nested and split plot designs -- Other design and analysis topics.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - TRC General Stacks Non-fiction QA 279. M66 2017 (Browse shelf(Opens below)) C.1 Available Z009274
Browsing Zetech Library - TRC shelves, Shelving location: General Stacks, Collection: Non-fiction Close shelf browser (Hides shelf browser)
QA278.2 .S46 1990 Regression analysis : Theory, methods and application / QA279 .B35 2008 Design of comparative experiments / QA 279 .G64 1993 The GLIM system QA 279. M66 2017 Design and analysis of experiments / QA300 .B29 2011 Introduction to real analysis / QA 303 .H8513 1992 Calculus / QA 303. K56 2013 Principles of calculus / by

includes indexes.

Introduction -- Simple comparative experiments -- Experiments with a single factor: The analysis of variance -- Randomized blocks, Latin squares, and related designs -- Introduction to factorial designs -- The 2k factorial design --- Blocking and confounding in the 2k factorial design --Two level fractional factorial designs -- Additional design and analysis topic for factorial and fractional factorial design -- Fitting Regression models -- Response surface methods and designs --Robust parameter design and process robustness studies -- Experiments with random factors -- Nested and split plot designs -- Other design and analysis topics.

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