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9 mins confidence:  
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8 mins |
| Reference: Standard Error of Measurement Reference information: Analysis of cartilage wear particles in equine joints and their ... www.diss.fu-berlin.de/diss/servlets/.../FUDISS.../Sousa.pdf... File Format: PDF/Adobe Acrobat - Quick View prevailing mechanical stress to which the area is exposed. ... Articular cartilage is translucent and has a glasslike (hyaline) appearance, that is due primarily ..... podotrochlear (navicular) bursa and distal interphalangeal joint ...... fingers before it drips. ..... Data and standard error of measurement (S.E.M.) can also be ... -------------------------------------------------- Note added at 15 mins (2012-01-18 17:03:49 GMT) -------------------------------------------------- Quantification of brain function using PET - Google Books Result books.google.com/books?isbn=0123897602...Ralph Myers - 1996 - Computers - 443 pages The eflect of correlation on the SEM of the pixel values in a region was found to be considerable and depend on both the size and shape of the region. ... -------------------------------------------------- Note added at 15 mins (2012-01-18 17:03:59 GMT) -------------------------------------------------- here = standard error of the mean -------------------------------------------------- Note added at 18 mins (2012-01-18 17:06:56 GMT) -------------------------------------------------- also http://webcache.googleusercontent.com/search?q=cache:vHZlCDD... SPOT HRV IMAGE SEGMENTATION Figs. 5-6 Initial segmentation: noncontextual 8-means clustering algorithm. No. of clusters c = 8. Figs. 7-8 8-means + Stochastic EM (SEM, which employs contextual priors; Daemi et al., 1996). Termination epoch tmax = 20. -------------------------------------------------- Note added at 20 mins (2012-01-18 17:08:44 GMT) -------------------------------------------------- obviously not my area, but hope the references help |
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31 mins |
| Reference Reference information: http://www.uqtr.ca/cours/srp-6018/s2/erreur_standard.htm Dans le cas qui nous intéresse on parlera de l'erreur standard de la moyenne (« standard error of the mean ») qui se calcule en divisant l'écart-type de l'échantillon (« standard deviation ») par la racine carrée de la taille de l'échantillon: http://www.dsa.unipr.it/giavelli/DIDATTICA/Statophobes/chapi... 2.5 Ecart type de la moyenne : l’erreur standard La racine carrée de la variance permet de calculer l’écart-type des données autour de leur moyenne. Cependant, la synthèse ultime de vos données consiste à montrer à vos lecteurs l’écart-type de la moyenne elle même. Cet écart type reçoit un nom spécial (qui pemet de ne pas le confondre avec l’écart type des données) et devient l’erreur standard de la moyenne (abréviation : e.s. en Français et s.e. en Anglais). Si on appelle s2 la variance des données de la population, alors l’erreur standard de la moyenne m obtenue à partir d’un échantillon de n individus est : erreur standard = racine(s2/n) |
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