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The Resource Statistical design and analysis of experiments : with applications to engineering and science, Robert L. Mason, Richard F. Gunst, James L. Hess

Statistical design and analysis of experiments : with applications to engineering and science, Robert L. Mason, Richard F. Gunst, James L. Hess

Work
Publication
Edition
2nd ed.
Extent
xix, 728 pages
Contents
  • Statistical Inference
  • Probability Concepts
  • Interval Estimation
  • Statistical Tolerance Intervals
  • Tests of Statistical Hypotheses
  • Sample Size and Power
  • Probability Calculations
  • Inferences on Means and Standard Deviations
  • Inferences on a Population or Process Mean
  • Confidence Intervals
  • Fundamental Statistical Concepts
  • Hypothesis Tests
  • Choice of a Confidence Interval or a Test
  • Sample Size
  • Inferences on a Population or Process Standard Deviation
  • Confidence Intervals
  • Hypothesis Tests
  • Inferences on Two Populations or Processes Using Independent Pairs of Correlated Data Values
  • Inferences on Two Populations or Processes Using Data from Independent Samples
  • Comparing Standard Deviations from Several Populations
  • Design and Analysis with Factorial Structure
  • Statistics in Engineering and Science
  • Statistical Principles in Experimental Design
  • Experimental-Design Terminology
  • Common Design Problems
  • Masking Factor Effects
  • Uncontrolled Factors
  • Erroneous Principles of Efficiency
  • One-Factor-at-a-Time Testing
  • Selecting a Statistical Design
  • Consideration of Objectives
  • Factor Effects
  • The Role of Statistics in Experimentation
  • Precision and Efficiency
  • Randomization
  • Designing for Quality Improvement
  • Factorial Experiments in Completely Randomized Designs
  • Factorial Experiments
  • Populations and Samples
  • Parameters and Statistics
  • Mathematical and Statistical Modeling
  • Fundamentals of Statistical Inference
  • Traditional Summary Statistics
Isbn
9780471372165
Instance
Label
Statistical design and analysis of experiments : with applications to engineering and science
Title
Statistical design and analysis of experiments
Title remainder
with applications to engineering and science
Statement of responsibility
Robert L. Mason, Richard F. Gunst, James L. Hess
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
DLC
http://library.link/vocab/creatorDate
1946-
http://library.link/vocab/creatorName
Mason, Robert L.
Illustrations
illustrations
Index
no index present
LC call number
TA340
LC item number
.M36 2003
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorDate
1947-
http://library.link/vocab/relatedWorkOrContributorName
  • Gunst, Richard F.
  • Hess, James L
http://library.link/vocab/subjectName
  • Engineering
  • Science
  • Experimental design
  • Engineering
  • Experimental design
  • Science
  • Statistische analyse
  • Onderzoeksontwerp
  • Experimenteel ontwerp
  • Technische wetenschappen
  • Productieprocessen
  • Meetmethoden
  • Chemische technologie
  • Experimentauswertung
  • Statistik
  • Versuchsplanung
  • Statistik
  • Versuchsplanung
  • Datenanalyse
  • Experimentauswertung
Label
Statistical design and analysis of experiments : with applications to engineering and science, Robert L. Mason, Richard F. Gunst, James L. Hess
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Statistical Inference
  • Probability Concepts
  • Interval Estimation
  • Statistical Tolerance Intervals
  • Tests of Statistical Hypotheses
  • Sample Size and Power
  • Probability Calculations
  • Inferences on Means and Standard Deviations
  • Inferences on a Population or Process Mean
  • Confidence Intervals
  • Fundamental Statistical Concepts
  • Hypothesis Tests
  • Choice of a Confidence Interval or a Test
  • Sample Size
  • Inferences on a Population or Process Standard Deviation
  • Confidence Intervals
  • Hypothesis Tests
  • Inferences on Two Populations or Processes Using Independent Pairs of Correlated Data Values
  • Inferences on Two Populations or Processes Using Data from Independent Samples
  • Comparing Standard Deviations from Several Populations
  • Design and Analysis with Factorial Structure
  • Statistics in Engineering and Science
  • Statistical Principles in Experimental Design
  • Experimental-Design Terminology
  • Common Design Problems
  • Masking Factor Effects
  • Uncontrolled Factors
  • Erroneous Principles of Efficiency
  • One-Factor-at-a-Time Testing
  • Selecting a Statistical Design
  • Consideration of Objectives
  • Factor Effects
  • The Role of Statistics in Experimentation
  • Precision and Efficiency
  • Randomization
  • Designing for Quality Improvement
  • Factorial Experiments in Completely Randomized Designs
  • Factorial Experiments
  • Populations and Samples
  • Parameters and Statistics
  • Mathematical and Statistical Modeling
  • Fundamentals of Statistical Inference
  • Traditional Summary Statistics
Dimensions
24 cm.
Edition
2nd ed.
Extent
xix, 728 pages
Isbn
9780471372165
Lccn
2002068951
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • (OCoLC)50124300
  • (OCoLC)ocm50124300
Label
Statistical design and analysis of experiments : with applications to engineering and science, Robert L. Mason, Richard F. Gunst, James L. Hess
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Statistical Inference
  • Probability Concepts
  • Interval Estimation
  • Statistical Tolerance Intervals
  • Tests of Statistical Hypotheses
  • Sample Size and Power
  • Probability Calculations
  • Inferences on Means and Standard Deviations
  • Inferences on a Population or Process Mean
  • Confidence Intervals
  • Fundamental Statistical Concepts
  • Hypothesis Tests
  • Choice of a Confidence Interval or a Test
  • Sample Size
  • Inferences on a Population or Process Standard Deviation
  • Confidence Intervals
  • Hypothesis Tests
  • Inferences on Two Populations or Processes Using Independent Pairs of Correlated Data Values
  • Inferences on Two Populations or Processes Using Data from Independent Samples
  • Comparing Standard Deviations from Several Populations
  • Design and Analysis with Factorial Structure
  • Statistics in Engineering and Science
  • Statistical Principles in Experimental Design
  • Experimental-Design Terminology
  • Common Design Problems
  • Masking Factor Effects
  • Uncontrolled Factors
  • Erroneous Principles of Efficiency
  • One-Factor-at-a-Time Testing
  • Selecting a Statistical Design
  • Consideration of Objectives
  • Factor Effects
  • The Role of Statistics in Experimentation
  • Precision and Efficiency
  • Randomization
  • Designing for Quality Improvement
  • Factorial Experiments in Completely Randomized Designs
  • Factorial Experiments
  • Populations and Samples
  • Parameters and Statistics
  • Mathematical and Statistical Modeling
  • Fundamentals of Statistical Inference
  • Traditional Summary Statistics
Dimensions
24 cm.
Edition
2nd ed.
Extent
xix, 728 pages
Isbn
9780471372165
Lccn
2002068951
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • (OCoLC)50124300
  • (OCoLC)ocm50124300

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