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Michael Smithson - Confidence Intervals - 9780761924999 - V9780761924999
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Confidence Intervals

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Description for Confidence Intervals Paperback. Introduces the basis of the confidence interval framework and provides the criteria for 'best' confidence intervals, along with the trade-offs between confidence and precision. This book covers topics such as the transformation principle, confidence intervals, and the relationship between confidence interval and significance testing frameworks. Series: Quantitative Applications in the Social Sciences. Num Pages: 104 pages, Illustrations. BIC Classification: JHBC. Category: (U) Tertiary Education (US: College). Dimension: 215 x 140 x 6. Weight in Grams: 128.
Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the trade-offs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.
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Product Details

Format
Paperback
Publication date
2003
Publisher
SAGE Publications Inc United States
Number of pages
104
Condition
New
Series
Quantitative Applications in the Social Sciences
Number of Pages
104
Place of Publication
Thousand Oaks, United States
ISBN
9780761924999
SKU
V9780761924999
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Michael Smithson
Michael Smithson is a Professor in the Research School of Psychology at The Australian National University in Canberra, and received his PhD from the University of Oregon. He is the author of Confidence Intervals (2003), Statistics with Confidence (2000), Ignorance and Uncertainty (1989), and Fuzzy Set Analysis for the Behavioral and Social Sciences (1987), co-author of Fuzzy Set Theory: Applications ... Read more

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