113,57 €
126,19 €
-10% with code: EXTRA
Analysis of Variance for Random Models
Analysis of Variance for Random Models
113,57
126,19 €
  • We will send in 10–14 business days.
ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models). Access…
  • Publisher:
  • Year: 2013
  • Pages: 484
  • ISBN-10: 1461264707
  • ISBN-13: 9781461264705
  • Format: 15.6 x 23.4 x 2.6 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Analysis of Variance for Random Models (e-book) (used book) | bookbook.eu

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ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).

Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.

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  • Author: Hardeo Sahai
  • Publisher:
  • Year: 2013
  • Pages: 484
  • ISBN-10: 1461264707
  • ISBN-13: 9781461264705
  • Format: 15.6 x 23.4 x 2.6 cm, minkšti viršeliai
  • Language: English English

ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).

Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.

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