A statistical foundation is given to the problem of hypothesizing and testing geometric properties of image data heuristically derived by Kanatani (CVGIP: Image Understanding 54 (1991), 333-348). Points and lines in the image are represented by " \(\mathrm{N}\)-vectors" and their reliability is eval
β¦ LIBER β¦
Statistical Hypothesis Testing for Postreconstructed and Postregistered Medical Images
β Scribed by Demidenko, Eugene
- Book ID
- 118204134
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 2009
- Tongue
- English
- Weight
- 719 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1936-4954
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Statistical Foundation for Hypothesis Te
β
K. Kanatani
π
Article
π
1994
π
Elsevier Science
β 932 KB
An introduction to medical statistics fo
An introduction to medical statistics for health care professionals: Hypothesis tests and estimation
β
Elaine Thomas
π
Article
π
2005
π
John Wiley and Sons
π
English
β 130 KB
GeneToolsβ application for functional an
β
Vidar Beisvag; Frode KR JΓΌnge; Hallgeir Bergum; Lars JΓΈlsum; Stian Lydersen; Cla
π
Article
π
2006
π
BioMed Central
π
English
β 808 KB
Statistical evidence and sample size det
β
Fulvio De Santis
π
Article
π
2004
π
Elsevier Science
π
English
β 363 KB
This paper considers the problem of choosing the sample size for testing hypotheses on the parameters of a model using Bayes factors. Extending the evidential approach outlined in Royall (Statistical Evidence: a Likelihood paradigm. Chapman & Hall, London (1997), J. Amer. Statist. Assoc. 95 (2000) 7
Appropriate roles for statistical decisi
β
Andrew J. Buck; Simon Hakim
π
Article
π
1981
π
Elsevier Science
π
English
β 1002 KB
Wald, likelihood ratio, and infinite ind
β
Alan J. Rogers
π
Article
π
1986
π
Elsevier Science
π
English
β 308 KB