Basic experimental strategies and data analysis for science and engineering:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Author Bios -- 1: Strategies for Experimentation with Multiple Factors -- 1.1 Introduction -- 1.2 Some Definitions -- 1.3 Classical Versus Statistical Approaches...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2017
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FWS01 FWS02 |
| Zusammenfassung: | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Author Bios -- 1: Strategies for Experimentation with Multiple Factors -- 1.1 Introduction -- 1.2 Some Definitions -- 1.3 Classical Versus Statistical Approaches to Experimentation -- 1.4 Why Experiment? (Analysis of Historical Data) -- 1.5 Diagnosing the Experimental Environment -- 1.6 Example of a Complete Experimental Program -- 1.6.1 Chemical Process System -- 1.6.2 Step One: Screening 1.6.3 Step Two: Crude Optimization -- 1.6.4 Step Three: Final Optimization -- 1.7 Good Design Requirements -- 1.8 Summary -- 1.8.1 Important Terms and Concepts -- 2: Statistics and Probability -- 2.1 Introduction -- 2.2 Graphical and Numerical Summaries of a Single Response-Variable -- 2.2.1 Dot Diagrams -- 2.2.2 Sample Mean, Variance, and Standard Deviation -- 2.2.3 Histograms -- 2.2.4 Five-Number Summaries and Boxplots -- 2.3 Graphical and Numerical Summaries of the Relation Between Variables -- 2.4 What to Expect from Theory 2.4.1 Probability Density Functions and Probability -- 2.4.2 Expected Values, Variance, and Standard Deviation -- 2.4.3 Normal Distribution -- 2.4.4 Central Limit Theorem and Distribution of Sample Means -- 2.5 Using Theory to Help Interpret Experimental Data -- 2.5.1 Comparing the Mean of Experimental Results to a Standard -- 2.5.2 Comparing the Means of Two Experimental Conditions -- 2.5.3 Comparing the Means of Several Experimental Conditions -- 2.5.4 Comparing Observed Data to the Normal Distribution -- 2.6 Summary -- 2.6.1 Important Equations |
| Beschreibung: | Description based upon print version of record |
| Beschreibung: | 1 Online-Ressource (xxv, 418 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781315374529 9781466512184 |
Internformat
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| 520 | 1 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Author Bios -- 1: Strategies for Experimentation with Multiple Factors -- 1.1 Introduction -- 1.2 Some Definitions -- 1.3 Classical Versus Statistical Approaches to Experimentation -- 1.4 Why Experiment? (Analysis of Historical Data) -- 1.5 Diagnosing the Experimental Environment -- 1.6 Example of a Complete Experimental Program -- 1.6.1 Chemical Process System -- 1.6.2 Step One: Screening | |
| 520 | 1 | |a 1.6.3 Step Two: Crude Optimization -- 1.6.4 Step Three: Final Optimization -- 1.7 Good Design Requirements -- 1.8 Summary -- 1.8.1 Important Terms and Concepts -- 2: Statistics and Probability -- 2.1 Introduction -- 2.2 Graphical and Numerical Summaries of a Single Response-Variable -- 2.2.1 Dot Diagrams -- 2.2.2 Sample Mean, Variance, and Standard Deviation -- 2.2.3 Histograms -- 2.2.4 Five-Number Summaries and Boxplots -- 2.3 Graphical and Numerical Summaries of the Relation Between Variables -- 2.4 What to Expect from Theory | |
| 520 | 1 | |a 2.4.1 Probability Density Functions and Probability -- 2.4.2 Expected Values, Variance, and Standard Deviation -- 2.4.3 Normal Distribution -- 2.4.4 Central Limit Theorem and Distribution of Sample Means -- 2.5 Using Theory to Help Interpret Experimental Data -- 2.5.1 Comparing the Mean of Experimental Results to a Standard -- 2.5.2 Comparing the Means of Two Experimental Conditions -- 2.5.3 Comparing the Means of Several Experimental Conditions -- 2.5.4 Comparing Observed Data to the Normal Distribution -- 2.6 Summary -- 2.6.1 Important Equations | |
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Datensatz im Suchindex
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| author | Lawson, John 1947- |
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| discipline | Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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| id | DE-604.BV044508351 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:48:48Z |
| institution | BVB |
| isbn | 9781315374529 9781466512184 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029908199 |
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| physical | 1 Online-Ressource (xxv, 418 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-30-PQE ebook |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | CRC Press |
| record_format | marc |
| spellingShingle | Lawson, John 1947- Basic experimental strategies and data analysis for science and engineering Datenanalyse (DE-588)4123037-1 gnd Versuchsplanung (DE-588)4078859-3 gnd Ingenieurwissenschaften (DE-588)4137304-2 gnd Experiment (DE-588)4015999-1 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4078859-3 (DE-588)4137304-2 (DE-588)4015999-1 (DE-588)4056995-0 |
| title | Basic experimental strategies and data analysis for science and engineering |
| title_auth | Basic experimental strategies and data analysis for science and engineering |
| title_exact_search | Basic experimental strategies and data analysis for science and engineering |
| title_full | Basic experimental strategies and data analysis for science and engineering John Lawson (Brigham Young University, Provo, Utah, USA), John Erjavec (University of North Dakota, Grand Forks, USA) |
| title_fullStr | Basic experimental strategies and data analysis for science and engineering John Lawson (Brigham Young University, Provo, Utah, USA), John Erjavec (University of North Dakota, Grand Forks, USA) |
| title_full_unstemmed | Basic experimental strategies and data analysis for science and engineering John Lawson (Brigham Young University, Provo, Utah, USA), John Erjavec (University of North Dakota, Grand Forks, USA) |
| title_short | Basic experimental strategies and data analysis for science and engineering |
| title_sort | basic experimental strategies and data analysis for science and engineering |
| topic | Datenanalyse (DE-588)4123037-1 gnd Versuchsplanung (DE-588)4078859-3 gnd Ingenieurwissenschaften (DE-588)4137304-2 gnd Experiment (DE-588)4015999-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Datenanalyse Versuchsplanung Ingenieurwissenschaften Experiment Statistik |
| work_keys_str_mv | AT lawsonjohn basicexperimentalstrategiesanddataanalysisforscienceandengineering AT erjavecjohn basicexperimentalstrategiesanddataanalysisforscienceandengineering |