Dodge, Y. (1985). Analysis of Experiments with Missing Data. John Wiley and Sons, New York.

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Chapter 1	Prologue
Chapter 2	One factor experiments : Comparing treatments
Chapter 3	Experiments involving two factors
Chapter 4	Complete 2n factorial experiments
Chapter 5	Additive two-way classification with missing observations : estimability and analysis
Chapter 6	Additive three-way classification with missing observations : estimability and analysis
Chapter 7	n-way classification with missing observations : estimability and analysis
Chapter 8	Generalized inverses for classification models
Chapter 9	Minimally connected factorial experiments and the problem of selection a factorial experiment
Index

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