Data analysis and regression : a second course in statistics / Frederick Mosteller, John W. Tukey.

By: Mosteller, Frederick, 1916-2006.

Contributor(s): Tukey, John W. (John Wilder), 1915-2000 .

Material type: materialTypeLabel

BookSeries: Addison-Wesley series in behavioral sciencesQuantitative methods.Publisher: Reading, Mass. : Addison-Wesley Pub. Co, c1977Description: xvii, 588 p. : graphs ; 25 cm. + hbk.ISBN: 020104854X.Subject(s): Mathematical statistics

| Regression analysis

DDC classification: 519.7

Contents:

Approaching data analysis -- Indication and indicators -- Displays and summaries for batches -- Straightening curves and plots -- The practice of re-expression -- Need we re-express? -- Hunting out the real uncertainty -- A method of direct assessment -- Two- or more-way tables -- Robust and resistent measures -- Standardizing for comparison -- Regression for fitting -- Woes of regression coefficients -- A class of mechanisms for fitting -- Guided regression -- Examining regression residuals.

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode	Item holds
General Lending	MTU Bishopstown Library Lending	519.7 (Browse shelf(Opens below))	1	Available		00037614

Total holds: 0

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Enhanced descriptions from Syndetics:

Two mainstreams intermingle in this treatment of practical statistics: (a) a sequence of philosophical attitudes the student needs for effective data analysis, and (b) a flow of useful and adaptable techniques that make it possible to put these attitudes to work.

Includes bibliographical references and index.

Table of contents provided by Syndetics

1 Approaching Data Analysis
2 Indication and Indicators
3 Displays and Summaries for Batches
4 Straightening Curves and Plots
5 The Practice of Re-expression
6 Need We Reexpress?
7 Hunting Out the Real Uncertainty
8 A Method of Direct Assessment
9 Two-and More-way Tables
10 Robust and Resistant Measures of Location and Scale
11 Standardizing for Comparison
12 Regression for Fitting
13 Woes of Regression Coefficients
14 Mechanisms Usually Operating in Linear Fitting
15 Guided Regression
16 Examining Regression Residuals