Design and Analysis of Experiments
This textbook takes a strategic approach to the broad-reaching subject of experimental design by identifying the objectives behind an experiment and teaching practical considerations that govern design and implementation, concepts that serve as the basis for the analytical techniques covered. Rather...
Main Authors: | , , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Edition: | 2nd ed. 2017. |
Series: | Springer Texts in Statistics,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.