## Design of Experiments: A Realistic ApproachReview of some basic statistical concepts; Some intermediate data analysis concepts; A scientific approach to experimentation; Completely randomized design; Randomized complete block design; Nested hierarchical and nested factorial designs; Split plot type designs; Latin square type designs; Factorial experiments; Fractional factorial experiments for two-leveled factors; Three-level factorial experiments. |

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### Contents

REVIEW OF SOME BASIC STATISTICAL CONCEPTS | 1 |

SOME INTERMEDIATE DATA ANALYSIS CONCEPTS | 40 |

A SCIENTIFIC APPROACH TO EXPERIMENTATION | 79 |

COMPLETELY RANDOMIZED DESIGN CRD | 94 |

RANDOMIZED COMPLETE BLOCK DESIGN RCBD | 123 |

NESTED HIERARCHICAL AND NESTED FACTORIAL DESIGNS | 154 |

SPLIT PLOT TYPE DESIGNS | 181 |

LATIN SQUARE TYPE DESIGNS | 210 |

2n FACTORIAL EXPERIMENTS COMPLETE AND INCOMPLETE BLOCKS | 225 |

FRACTIONAL FACTORIAL EXPERIMENTS FOR TWOLEVELED FACTORS | 252 |

THREELEVEL FACTORIAL EXPERIMENTS | 280 |

MIXED FACTORIAL EXPERIMENTS AND OTHER INCOMPLETE | 302 |

RESPONSE SURFACE EXPLORATION | 326 |

APPENDICES | 388 |

413 | |

### Other editions - View all

Design of Experiments: A Realistic Approach Virgil L. Anderson,Robert A. McLean No preview available - 1974 |

### Common terms and phrases

ABCDE aliases alloy analysis of variance analyzed ANOVA Using Equation assumed assumptions calculation Chapter chemistry coefficients column completely randomized design confounded with blocks degrees of freedom design of experiments df SS effects and interactions estimate example experimental units F-test factorial experiment fixed fractional factorial fractional replicated gage bar setting given in Table Hence i j k incomplete block designs inference space investigator laboratories Latin square linear main effects method mode1 number of levels number of observations obtain optimum orthogonal polynomials packing pressure Problem procedure pseudofactor pulse rates quadratic RCBD regression analysis response surface restriction error restriction on randomization sample Section significant simplex Source df EMS split plot SS total standard error Statistical sum of squares temperature three factor interactions treatment combinations valve type variable welding