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Applied Adaptive Statistical Methods
Thomas W. O'Gorman
€ 106.02
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Description for Applied Adaptive Statistical Methods
Paperback.
Adaptive statistical tests, developed over the last 30 years, are often more powerful than traditional tests of significance, but have not been widely used. To date, discussions of adaptive statistical methods have been scattered across the literature and generally do not include the computer programs necessary to make these adaptive methods a practical alternative to traditional statistical methods. Until recently, there has also not been a general approach to tests of significance and confidence intervals that could easily be applied in practice. Modern adaptive methods are more general than earlier methods and sufficient software has been developed to make adaptive ... Read more
Adaptive statistical tests, developed over the last 30 years, are often more powerful than traditional tests of significance, but have not been widely used. To date, discussions of adaptive statistical methods have been scattered across the literature and generally do not include the computer programs necessary to make these adaptive methods a practical alternative to traditional statistical methods. Until recently, there has also not been a general approach to tests of significance and confidence intervals that could easily be applied in practice. Modern adaptive methods are more general than earlier methods and sufficient software has been developed to make adaptive ... Read more
Product Details
Format
Paperback
Publication date
1987
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
188
Condition
New
Number of Pages
188
Place of Publication
New York, United States
ISBN
9780898715538
SKU
V9780898715538
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3
About Thomas W. O'Gorman
Thomas W. O'Gorman is Associate Professor of Statistics at Northern Illinois University. He has worked as a statistical consultant at the University of Iowa and has conducted statistical research for Southwestern Bell Telephone Company. He has written numerous articles and is a member of the American Statistical Association, the Statistical Society of Canada, and the Biometric Society.
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