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Produktbild: Experiments

Experiments Planning, Analysis, and Optimization

Aus der Reihe Wiley Series in Probability and Statistics

156,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.03.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

736

Maße (L/B/H)

23,1/16/3,3 cm

Gewicht

962 g

Auflage

3rd edition

Sprache

Englisch

ISBN

978-1-119-47010-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.03.2021

Verlag

John Wiley & Sons Inc

Seitenzahl

736

Maße (L/B/H)

23,1/16/3,3 cm

Gewicht

962 g

Auflage

3rd edition

Sprache

Englisch

ISBN

978-1-119-47010-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Experiments
  • Preface to the Third Edition xvii
     
    Preface to the Second Edition xix
     
    Preface to the First Edition xxi
     
    Suggestions of Topics for Instructors xxv
     
    List of Experiments and Data Sets xxvii
     
    About the Companion Website xxxiii
     
    1 Basic Concepts for Experimental Design and Introductory Regression Analysis 1
     
    1.1 Introduction and Historical Perspective 1
     
    1.2 A Systematic Approach to the Planning and Implementation of Experiments 4
     
    1.3 Fundamental Principles: Replication, Randomization, and Blocking 8
     
    1.4 Simple Linear Regression 11
     
    1.5 Testing of Hypothesis and Interval Estimation 14
     
    1.6 Multiple Linear Regression 20
     
    1.7 Variable Selection in Regression Analysis 26
     
    1.8 Analysis of Air Pollution Data 28
     
    1.9 Practical Summary 34
     
    Exercises 35
     
    References 43
     
    2 Experiments with a Single Factor 45
     
    2.1 One-Way Layout 45
     
    *2.1.1 Constraint on the Parameters 50
     
    2.2 Multiple Comparisons 52
     
    2.3 Quantitative Factors and Orthogonal Polynomials 56
     
    2.4 Expected Mean Squares and Sample Size Determination 61
     
    2.5 One-Way Random Effects Model 68
     
    2.6 Residual Analysis: Assessment of Model Assumptions 71
     
    2.7 Practical Summary 76
     
    Exercises 77
     
    References 82
     
    3 Experiments with More than One Factor 85
     
    3.1 Paired Comparison Designs 85
     
    3.2 Randomized Block Designs 88
     
    3.3 Two-Way Layout: Factors with Fixed Levels 92
     
    3.3.1 Two Qualitative Factors: A Regression Modeling Approach 95
     
    *3.4 Two-Way Layout: Factors with Random Levels 98
     
    3.5 Multi-Way Layouts 105
     
    3.6 Latin Square Designs: Two Blocking Variables 108
     
    3.7 Graeco-Latin Square Designs 112
     
    *3.8 Balanced Incomplete Block Designs 113
     
    *3.9 Split-Plot Designs 118
     
    3.10 Analysis of Covariance: Incorporating Auxiliary Information 126
     
    *3.11 Transformation of the Response 130
     
    3.12 Practical Summary 134
     
    Exercises 135
     
    Appendix 3A: Table of Latin Squares, Graeco-Latin Squares, and Hyper-Graeco-Latin Squares 147
     
    References 148
     
    4 Full Factorial Experiments at Two Levels 151
     
    4.1 An Epitaxial Layer Growth Experiment 151
     
    4.2 Full Factorial Designs at Two Levels: A General Discussion 153
     
    4.3 Factorial Effects and Plots 157
     
    4.3.1 Main Effects 158
     
    4.3.2 Interaction Effects 159
     
    4.4 Using Regression to Compute Factorial Effects 165
     
    *4.5 ANOVA Treatment of Factorial Effects 167
     
    4.6 Fundamental Principles for Factorial Effects: Effect Hierarchy, Effect Sparsity, and Effect Heredity 168
     
    4.7 Comparisons with the "One-Factor-at-a-Time" Approach 169
     
    4.8 Normal and Half-Normal Plots for Judging Effect Significance 172
     
    4.9 Lenth's Method: Testing Effect Significance for Experiments Without Variance Estimates 174
     
    4.10 Nominal-the-Best Problem and Quadratic Loss Function 178
     
    4.11 Use of Log Sample Variance for Dispersion Analysis 179
     
    4.12 Analysis of Location and Dispersion: Revisiting the Epitaxial Layer Growth Experiment 181
     
    *4.13 Test of Variance Homogeneity and Pooled Estimate of Variance 184
     
    *4.14 Studentized Maximum Modulus Test: Testing Effect Significance for Experiments With Variance Estimates 185
     
    4.15 Blocking and Optimal Arrangement of 2¯k Factorial Designs in 2¯q Blocks 188
     
    4.16 Practical Summary 193
     
    Exercises 195
     
    Appendix 4A: Table of 2¯k Factorial Designs in 2¯q Blocks 201
     
    Refere