Graphical Methods for the Design of Experiments:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1999
|
| Schriftenreihe: | Lecture Notes in Statistics
143 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Graphical methods have played an important role in the statistical analysis of experimental data, but have not been used as extensively for experiment design, at least as it is presented in most design of experiments texts. Yet graphical methods are particularly attractive for the design of experiments because they exploit our creative right-brain capabilities. Creative activity is clearly important in any kind of design, certainly for the design ofan experiment. The experimenter must somehow select a set of run conditions that will meet the goals for a particular experiment in a cost-efficient way. Graphical Methods for Experiment Design goes beyond graphical methods for choosing run conditions for an experiment. It looks at the entire pre-experiment planning process, and presents in one place a collection of graphical methods for defining experiment goals, identifying and classifying variables, for choosing a model, for developing a design, and for assessing the adequacy of a design for estimating the unknown coefficients in the proposed statistical model. In addition, tools for developing a design also provide a platform for viewing the results of the experiment, a platform that provides insights that cannot be obtained by examination ofregression coefficients. These techniques can be applied to a variety of situations, including experimental runs of computer simulation models. Factorial and fractional-factorial designs are the focus of the graphical representations, although mixture experiments and experiments involving random effects and blocking are designed and represented in similar ways |
| Beschreibung: | 1 Online-Ressource (X, 212p) |
| ISBN: | 9781461213987 9780387947501 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-1398-7 |
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Datensatz im Suchindex
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| author | Barton, Russell R. |
| author_facet | Barton, Russell R. |
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| bvnumber | BV042419829 |
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| ctrlnum | (OCoLC)863669213 (DE-599)BVBBV042419829 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-1398-7 |
| format | Electronic eBook |
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| isbn | 9781461213987 9780387947501 |
| issn | 0930-0325 |
| language | English |
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| spelling | Barton, Russell R. Verfasser aut Graphical Methods for the Design of Experiments by Russell R. Barton New York, NY Springer New York 1999 1 Online-Ressource (X, 212p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 143 0930-0325 Graphical methods have played an important role in the statistical analysis of experimental data, but have not been used as extensively for experiment design, at least as it is presented in most design of experiments texts. Yet graphical methods are particularly attractive for the design of experiments because they exploit our creative right-brain capabilities. Creative activity is clearly important in any kind of design, certainly for the design ofan experiment. The experimenter must somehow select a set of run conditions that will meet the goals for a particular experiment in a cost-efficient way. Graphical Methods for Experiment Design goes beyond graphical methods for choosing run conditions for an experiment. It looks at the entire pre-experiment planning process, and presents in one place a collection of graphical methods for defining experiment goals, identifying and classifying variables, for choosing a model, for developing a design, and for assessing the adequacy of a design for estimating the unknown coefficients in the proposed statistical model. In addition, tools for developing a design also provide a platform for viewing the results of the experiment, a platform that provides insights that cannot be obtained by examination ofregression coefficients. These techniques can be applied to a variety of situations, including experimental runs of computer simulation models. Factorial and fractional-factorial designs are the focus of the graphical representations, although mixture experiments and experiments involving random effects and blocking are designed and represented in similar ways Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Grafische Darstellung (DE-588)4129552-3 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 s Grafische Darstellung (DE-588)4129552-3 s 1\p DE-604 https://doi.org/10.1007/978-1-4612-1398-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Barton, Russell R. Graphical Methods for the Design of Experiments Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Versuchsplanung (DE-588)4078859-3 gnd Grafische Darstellung (DE-588)4129552-3 gnd |
| subject_GND | (DE-588)4078859-3 (DE-588)4129552-3 |
| title | Graphical Methods for the Design of Experiments |
| title_auth | Graphical Methods for the Design of Experiments |
| title_exact_search | Graphical Methods for the Design of Experiments |
| title_full | Graphical Methods for the Design of Experiments by Russell R. Barton |
| title_fullStr | Graphical Methods for the Design of Experiments by Russell R. Barton |
| title_full_unstemmed | Graphical Methods for the Design of Experiments by Russell R. Barton |
| title_short | Graphical Methods for the Design of Experiments |
| title_sort | graphical methods for the design of experiments |
| topic | Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Versuchsplanung (DE-588)4078859-3 gnd Grafische Darstellung (DE-588)4129552-3 gnd |
| topic_facet | Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Versuchsplanung Grafische Darstellung |
| url | https://doi.org/10.1007/978-1-4612-1398-7 |
| work_keys_str_mv | AT bartonrussellr graphicalmethodsforthedesignofexperiments |