Hardcover. The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions. Approaches the analysis of variance (ANOVA) from an exploratory viewpoint while retaining customary least squares fitting methods. The authors emphasize both individual observations and the separate sections that ANOVA analysis produces. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Fundamentals of Exploratory Analysis of Variance (Hardcover)
Editor: John Wiley & Sons Inc, New York
Fecha de publicaci�n: 1991
Idioma: Ingl�s
ISBN 10: 0471527351
ISBN 13: 9780471527350
Encuadernaci�n: Hardcover
Edici�n: 1� Edici�n
Estado: new

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Sinopsis

The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.

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DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.

FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.

JOHN W. TUKEY, PhD, has received the National Medal of Science as well as several honorary degrees.

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