Statistical principles for the design of experiments: applications to real experiments
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
2012
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| Edition: | 1. publ. |
| Series: | Cambridge series in statistical and probabilistic mathematics
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| Subjects: | |
| Online Access: | Cover image Inhaltsverzeichnis |
| Item Description: | "This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project"-- Provided by publisher. |
| Physical Description: | XIV, 572 S. |
| ISBN: | 9780521862141 |
Staff View
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Record in the Search Index
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| adam_text | STATISTICAL PRINCIPLES FOR THE DESIGN OF EXPERIMENTS
/ MEAD, ROGER
: 2012
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1. INTRODUCTION; 2. ELEMENTARY IDEAS OF BLOCKING: THE RANDOMISED
COMPLETE BLOCK DESIGN; 3. ELEMENTARY IDEAS OF TREATMENT STRUCTURE; 4.
GENERAL PRINCIPLES OF LINEAR MODELS FOR THE ANALYSIS OF EXPERIMENTAL
DATA; 5. EXPERIMENTAL UNITS; 6. REPLICATION; 7. BLOCKING AND CONTROL; 8.
MULTIPLE BLOCKING SYSTEMS AND CROSSOVER DESIGNS; 9. MULTIPLE LEVELS OF
INFORMATION; 10. RANDOMISATION; 11. RESTRICTED RANDOMISATION; 12.
EXPERIMENTAL OBJECTIVES, TREATMENTS AND TREATMENT STRUCTURES; 13.
FACTORIAL STRUCTURE AND PARTICULAR FORMS OF EFFECTS; 14. FRACTIONAL
REPLICATION; 15. INCOMPLETE BLOCK SIZE FOR FACTORIAL EXPERIMENTS; 16.
QUANTITATIVE FACTORS AND RESPONSE FUNCTIONS; 17. MULTIFACTORIAL DESIGNS
FOR QUANTITATIVE FACTORS; 18. SPLIT UNIT DESIGNS; 19. MULTIPLE
EXPERIMENTS AND NEW VARIATION; 20. SEQUENTIAL ASPECTS OF EXPERIMENTS AND
EXPERIMENTAL PROGRAMMES; 21. DESIGNING USEFUL EXPERIMENTS.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| discipline | Allgemeines Mathematik |
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| isbn | 9780521862141 |
| language | English |
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| physical | XIV, 572 S. |
| publishDate | 2012 |
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| spelling | Mead, Roger Verfasser aut Statistical principles for the design of experiments applications to real experiments R. Mead ; S.G. Gilmour ; A. Mead 1. publ. 2012 XIV, 572 S. txt rdacontent n rdamedia nc rdacarrier Cambridge series in statistical and probabilistic mathematics "This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project"-- Provided by publisher. Experimental design MATHEMATICS / Probability & Statistics / General bisacsh Experimentelle Versuchsforschung (DE-588)4488711-5 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Experimentauswertung (DE-588)4153362-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Experimentelle Versuchsforschung (DE-588)4488711-5 s Experimentauswertung (DE-588)4153362-8 s Versuchsplanung (DE-588)4078859-3 s DE-604 Gilmour, S. G. Sonstige oth Mead, Andrew Sonstige oth http://assets.cambridge.org/97805218/62141/cover/9780521862141.jpg Cover image LoC Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025263060&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mead, Roger Statistical principles for the design of experiments applications to real experiments Experimental design MATHEMATICS / Probability & Statistics / General bisacsh Experimentelle Versuchsforschung (DE-588)4488711-5 gnd Versuchsplanung (DE-588)4078859-3 gnd Experimentauswertung (DE-588)4153362-8 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4488711-5 (DE-588)4078859-3 (DE-588)4153362-8 (DE-588)4056995-0 |
| title | Statistical principles for the design of experiments applications to real experiments |
| title_auth | Statistical principles for the design of experiments applications to real experiments |
| title_exact_search | Statistical principles for the design of experiments applications to real experiments |
| title_full | Statistical principles for the design of experiments applications to real experiments R. Mead ; S.G. Gilmour ; A. Mead |
| title_fullStr | Statistical principles for the design of experiments applications to real experiments R. Mead ; S.G. Gilmour ; A. Mead |
| title_full_unstemmed | Statistical principles for the design of experiments applications to real experiments R. Mead ; S.G. Gilmour ; A. Mead |
| title_short | Statistical principles for the design of experiments |
| title_sort | statistical principles for the design of experiments applications to real experiments |
| title_sub | applications to real experiments |
| topic | Experimental design MATHEMATICS / Probability & Statistics / General bisacsh Experimentelle Versuchsforschung (DE-588)4488711-5 gnd Versuchsplanung (DE-588)4078859-3 gnd Experimentauswertung (DE-588)4153362-8 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Experimental design MATHEMATICS / Probability & Statistics / General Experimentelle Versuchsforschung Versuchsplanung Experimentauswertung Statistik |
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