Analysis of experiments with missing data
著者
書誌事項
Analysis of experiments with missing data
(Wiley series in probability and mathematical statistics, . Applied probability and statistics)
Wiley, c1985
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注記
Includes bibliographies and index
内容説明・目次
内容説明
The first book to present recently developed theories and techniques for analyzing a data set resulting from designed experiments with missing data. Examples are provided in all chapters to clarify concepts along with tables and extensive bibliographical notes.
目次
- 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.
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