abstract introduction: temporomandibular joint disorders (tmd) are the most common disorders of the jaw, and despite their clinical importance, they are not completely understood. this study was aimed to evaluate the changes of temporomandibular joint (tmj) on cone beam computed tomography (cbct) images in disc displacement vs. osteoarthritis of the tmj. methods: in this study, 45 patients, inc...

several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. in analysis of variance, when the response random variable y , has linear relationship with several random variables x, another important model as analysis of covariance can be used. in this paper, assuming that y is fuzzy and using dlr metric, a method for testing ...

Large sample confidence intervals often have the form Dn ± z1−α/2 SE(Dn) whereDn is an estimator of the parameter and P (Z ≤ zα) = α when Z has a normal N(0,1) distribution. Replacing z1−α/2 by tp,1−α/2 can be viewed as multiplying z1−α/2 SE(Dn) by a finite sample correction factor tp,1−α/2/z1−α/2 in order to improve the performance of the interval for small sample sizes. This technique is used...

PURPOSE To study the possible effects of various diagnostic strategies and the relative contribution of various structures in order to determine the optimal diagnostic strategy in treating patients with noncompressive pain syndromes. STUDY DESIGN Prospective, nonrandomized cohort study of 83 consecutive patients with noncompressive pain syndromes resistant to repeated courses of conservative ...

We describe an estimation technique which, given a measurement of the depth of a target from a wide-fieldof-view (WFOV) stereo camera pair, produces a minimax risk fixed-size confidence interval estimate for the target depth. This work constitutes the first application to the computer vision domain of optimal fixed-size confidenceinterval decision theory. The approach is evaluated in terms of t...

The objective of ecological experiments is often to determine whether observed effects are large enough to be ecologically important. Despite this, effect size measures and associated measures of precision are frequently missing in published ecological research. In many cases, P-values are the only information available with which to assess the ecological importance of observed effects, but the...

SUMMARY The object of the present investigation is to consider a robust procedure for the problem of providing a bounded-length confidence interval for the regression coefficient (in a simple regression model) based on Kendall's (1955) tau. The problem of estimating the difference in the location parameters in the two-sample case may be viewed as a special case of our problem. It is shown that ...