| Sense and Nonsense of Statistical Inference: Controversy, Misuse, and Subtlety Contributor(s): Wang, Charmont (Author) |
|
 |
ISBN: 0824787986 ISBN-13: 9780824787981 Publisher: CRC Press OUR PRICE: $95.00 Product Type: Hardcover - Other Formats Published: December 1992 Annotation: This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.; The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control. |
| Additional Information |
| BISAC Categories: - Science | Research & Methodology - Mathematics | Probability & Statistics - General - Technology & Engineering | Quality Control |
| Dewey: 507.2 |
| LCCN: 92035539 |
| Series: Popular Statistics |
| Physical Information: 0.9" H x 6.24" W x 9.06" (1.28 lbs) 256 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control. |