Introductory statistics / Thomas H. Wonnacott and Ronald J. Wonnacott.

By:

Wonnacott, Thomas H

Contributor(s):

Wonnacott, Ronald J

Material type: Text

TextSeries: Wiley series in probability and mathematical statistics. Applied probability and statisticsPublication details: New York : Wiley, c1990.Edition: 5th edDescription: xvi, 711 p. : some col. ill. ; 25 cmISBN:

0471615188

Subject(s):

DDC classification:

519.5 WON

Online resources:

Summary: An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Book	Mzumbe University Main Campus Library	Mzumbe University Main Campus Library	519.5 WON (Browse shelf(Opens below))		Available	0037532
Book	Mzumbe University Main Campus Library	Mzumbe University Main Campus Library	519.5 WON (Browse shelf(Opens below))	1	Available	0065111
Book	Mzumbe University Main Campus Library	Mzumbe University Main Campus Library	519.5 WON (Browse shelf(Opens below))	3	Available	0065112

Total holds: 0

R.J. Wonnacott's name appears first on the 4th ed.

Includes index.

Bibliography: p.679-683.

An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions

eng

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