Modern Experimental Design
Aus der Reihe
Wiley Series in Probability and Statistics
159,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
07.03.2007
Verlag
SybexSeitenzahl
624 (Printausgabe)
Dateigröße
4868 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470074343
A complete and well-balanced introduction to modern experimental
design
Using current research and discussion of the topic along with
clear applications, Modern Experimental Design highlights
the guiding role of statistical principles in experimental design
construction. This text can serve as both an applied introduction
as well as a concise review of the essential types of experimental
designs and their applications.
Topical coverage includes designs containing one or multiple
factors, designs with at least one blocking factor, split-unit
designs and their variations as well as supersaturated and
Plackett-Burman designs. In addition, the text contains extensive
treatment of:
* Conditional effects analysis as a proposed general method of
analysis
* Multiresponse optimization
* Space-filling designs, including Latin hypercube and uniform
designs
* Restricted regions of operability and debarred
observations
* Analysis of Means (ANOM) used to analyze data from various
types of designs
* The application of available software, including Design-Expert,
JMP, and MINITAB
This text provides thorough coverage of the topic while also
introducing the reader to new approaches. Using a large number of
references with detailed analyses of datasets, Modern
Experimental Design works as a well-rounded learning tool for
beginners as well as a valuable resource for practitioners.
design
Using current research and discussion of the topic along with
clear applications, Modern Experimental Design highlights
the guiding role of statistical principles in experimental design
construction. This text can serve as both an applied introduction
as well as a concise review of the essential types of experimental
designs and their applications.
Topical coverage includes designs containing one or multiple
factors, designs with at least one blocking factor, split-unit
designs and their variations as well as supersaturated and
Plackett-Burman designs. In addition, the text contains extensive
treatment of:
* Conditional effects analysis as a proposed general method of
analysis
* Multiresponse optimization
* Space-filling designs, including Latin hypercube and uniform
designs
* Restricted regions of operability and debarred
observations
* Analysis of Means (ANOM) used to analyze data from various
types of designs
* The application of available software, including Design-Expert,
JMP, and MINITAB
This text provides thorough coverage of the topic while also
introducing the reader to new approaches. Using a large number of
references with detailed analyses of datasets, Modern
Experimental Design works as a well-rounded learning tool for
beginners as well as a valuable resource for practitioners.
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