Introductory statistics
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 pre...
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| Main Author: | |
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| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
New York
Wiley
1990
@1990 |
| Edition: | 5th ed. |
| Series: | Wiley series in probability and mathematical statistics
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 040 | # | # | |a DLC |d UiTM |e rda |
| 041 | 0 | # | |a eng |
| 090 | 0 | 0 | |a QA276.12 |b .W657 1990 |
| 100 | 1 | # | |a Wonnacott, Thomas H. |d 1935- |e author |
| 245 | 1 | 0 | |a Introductory statistics |c Thomas H. Wonnacott, Ronald J. Wonnacott |
| 250 | # | # | |a 5th ed. |
| 264 | # | 1 | |a New York |b Wiley |c 1990 |
| 264 | # | 1 | |c @1990 |
| 300 | # | # | |a xvi, 711 pages |b some colour illustrations |c 25 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 490 | 1 | # | |a Wiley series in probability and mathematical statistics |p Applied probability and statistics |
| 500 | # | # | |a R.J. Wonnacott?s name appears first on the 4th ed. |
| 500 | # | # | |a Includes index |
| 504 | # | # | |a Bibliography: p.679-683 |
| 520 | # | # | |a 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. |
| 650 | # | 0 | |a Statistics |
| 650 | # | 0 | |a Mathematical statistics |
| 700 | 1 | # | |a Wonnacott, Ronald J. |
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Introductory statistics