Introductory statistics /
Wonnacott, Thomas H.,
Introductory statistics / Thomas H. Wonnacott and Ronald J. Wonnacott. - 5th ed. - New York : Wiley, c1990. - xvi, 711 p. : some col. ill. ; 25 cm. - Wiley series in probability and mathematical statistics. Applied probability and statistics .
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
0471615188 TZS 73,150/=
Statistics.
Mathematical statistics
519.5 WON
Introductory statistics / Thomas H. Wonnacott and Ronald J. Wonnacott. - 5th ed. - New York : Wiley, c1990. - xvi, 711 p. : some col. ill. ; 25 cm. - Wiley series in probability and mathematical statistics. Applied probability and statistics .
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
0471615188 TZS 73,150/=
Statistics.
Mathematical statistics
519.5 WON