Design and Analysis of Experiments (Springer Texts in Statistics) - Paperback

EAN (ISBN-13): 9783319522487
ISBN (ISBN-10): 3319522485
Hardcover
Paperback
Publishing year: 2017
Publisher: Springer International Publishing

Book in our database since 2017-05-03T07:59:56-04:00 (New York)
Detail page last modified on 2023-01-15T20:23:41-05:00 (New York)
ISBN/EAN: 9783319522487

ISBN - alternate spelling:
3-319-52248-5, 978-3-319-52248-7
Alternate spelling and related search-keywords:
Book author: vos, voß, voss, design and analysis experiments, angela, dean
Book title: experiment design, design and analysis experiments

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Information from Publisher

Author: Angela Dean; Daniel Voss; Danel Draguljić
Title: Springer Texts in Statistics; Design and Analysis of Experiments
Publisher: Springer; Springer International Publishing
840 Pages
Publishing year: 2017-04-13
Cham; CH
Printed / Made in
Language: English
139,09 € (DE)
142,99 € (AT)
153,50 CHF (CH)
POD
XXV, 840 p. 146 illus., 52 illus. in color.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Analysis of Experiments; Analysis of covariance; Blocking factors; Design of Experiments; Factorial experiments; Fitting models; Inference for Contrasts; Planning experiments; Polynomial regression; Random effects; Variation; Statistical Theory and Methods; Probability Theory; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Stochastik; BC; EA

This new, second edition includes

Principles and Techniques.- Planning Experiments.- Designs With One Source of Variation.- Inferences for Contrasts and Treatment Means.- Checking Model Assumptions.- Experiments With Two Crossed Treatment Factors.- Several Crossed Treatment Factors.- Polynomial Regression.- Analysis of Covariance.- Complete Block Designs.- Incomplete Block Designs.- Designs With Two Blocking Factors.- Confounded Two-Level Factorial Experiments.- Confounding in General Factorial Experiments.- Fractional Factorial Experiments.- Response Surface Methodology.- Random Effects and Variance Components.- Nested Models.- Split-Plot Designs

Angela Dean, PhD, Daniel Voss, PhD, Danel Draguljic, PhD, Angela Dean, PhD, Daniel Voss, PhD, Danel Draguljic, PhD,
Second edition includes new material on screening experiments and analysis of mixed models, a new chapter on computer experiments, added “Using R” sections, updated SAS output, and use of SAS Proc Mixed Presents a step-by-step guide to design, including a planning checklist that emphasizes practical considerations Explains all the basics of analysis: estimation of treatment contrasts and analysis of variance, while also applying these in a wide variety of settings Utilizes data drawn from real experiments Includes supplementary material: sn.pub/extras