Analysis of experiments with missing data

著者

• Dodge, Yadolah

書誌事項

Analysis of experiments with missing data

Yadolah Dodge

（Wiley series in probability and mathematical statistics, . Applied probability and statistics）

Wiley, c1985

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.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA00044677
• ISBN:
  • 0471887366
• LCCN: 85005296
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: xvii, 499 p.
• 大きさ: 24 cm
• 分類:
  • LCC : QA279
  • DC19 : 001.6/34
  • NDC8 : 417.7
• 件名:
  • LCSH : Experimental design
  • LCSH : Analysis of variance
  • NDLSH : 実験計画法
• 親書誌ID:
  • BA00019013