Analysis of Experiments with Missing Data
TechnometricsPublished 1 February 1987
David M. Rocke, Yadolah Dodge
Citations54
SJR quartileQ1
SJR score1.41
SNIP1.93
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Prologue One Factor Experiments: Comparing Treatments Experiments Involving Two Factors Additive Two-Way Classification with Missing Observations: Estimability and Analysis Additive Three-Way Classification with Missing Observations: Estimability and Analysis Additive N-Way Classifications with Missing Observations: Estimability and Analysis Generalized Inverses for Classification Models Minimally Connected Factorial Experiments and the Problems of Selecting a Factorial Experiment Index.
Keywords
ChemistryComputer ScienceMathematics
