Modeling experimental and observational data

著者

• Lunneborg, Clifford E.

書誌事項

Modeling experimental and observational data

Clifford E. Lunneborg

Duxbury Press, c1994

注記

Includes bibliographical references and index

内容説明・目次

内容説明

This book shows readers how modelling is a useful and powerful tool in the applied sciences. Lunneborg's approach emphasizes understanding regression analysis of variance concepts by way of example and explanation rather than rote computation.

目次

• Models for experimental and observational data
• The measured response variable
• Simple linear regression: an introduction
• Simple linear regression: estimation
• Simple linear regression: inference about models
• Categorical explanatory variables: one way ANOVA
• Several explanatory variables: multiple regression
• Comparing fuller with less full models
• Assessing a model's adequacy: individual observations
• Assessing a model's adequacy: checking assumptions
• Categorical explanatory variables: ANOVA models
• Auxiliary variable models: enhancing model sensitivity
• Auxiliary variable models: moderating the influence of an explanatory variable
• Introduction to modelling: repeated observations
• The categorical response variable: characteristics
• Logistic regression: modelling the properties of success
• Grouped logistic regression and multiple explanatory variable models
• Logistic regression for multiple response categories
• Poisson regression for counted responses in time series.

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詳細情報

• NII書誌ID(NCID): BA26709560
• ISBN:
  • 0534214266
• LCCN: 93011598
• 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: Belmont, Calif.
• ページ数/冊数: 1 v. (various pagings)
• 大きさ: 24 cm
• 分類:
  • LCC : QA279
  • DC20 : 001.4/34
• 件名:
  • LCSH : Linear models (Statistics)
  • LCSH : Biometry
  • LCSH : Social sciences -- Statistical methods