Design of Experiments | Observational study, Frequency probability, Random assignment, Response surface methodology, Randomization, Repeated measures design, Optimal design, Replication (statistics), Orthogonality

Frederic P. Miller (u. a.)

ISBN 10: 6130097891 / ISBN 13: 9786130097899

Published by OmniScriptum, 2026

About this Item

Design of Experiments | Observational study, Frequency probability, Random assignment, Response surface methodology, Randomization, Repeated measures design, Optimal design, Replication (statistics), Orthogonality | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130097899 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134841512

Bibliographic Details

• Title: Design of Experiments | Observational study, Frequency probability, Random assignment, Response surface methodology, Randomization, Repeated measures design, Optimal design, Replication (statistics), Orthogonality
• Publisher: OmniScriptum
• Publication Date: 2026
• Language: English
• ISBN 10: 6130097891
• ISBN 13: 9786130097899
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 155 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Design of experiments, or experimental design, (DoE) is the design of all information-gathering exercises where variation is present, whether under the full control of the experimenter or not. (The latter situation is usually called an observational study.) Often the experimenter is interested in the effect of some process or intervention (the "treatment") on some objects (the "experimental units"), which may be people, parts of people, groups of people, plants, animals, etc. Design of experiments is thus a discipline that has very broad application across all the natural and social sciences.