consider the problem of interval estimation odds ratio. An asymptotic confidence is widely applied in economics, medicine, sociology, etc. Unfortunately, this has a poor coverage probability, significantly smaller than nominal level. In paper, new proposed. Its construction requires only information on sizes samples and sample The probability proposed at least

For the power of two-sided hypothesis testing about the mean of a normal population, we derive a 100(1 − alpha)% confidence interval. Then by using a numerical method we will find a shortest confidence interval and consider some special cases.

background: despite growing interest in the public health of sexual minority, youth around the world due to the high rates of suicidal ideation and attempts in this population, few studies on the sexual orientation of korean adolescents have been conducted. therefore, this study investigated the relationship between the sexual orientation of korean adolescents and their suicide-related behavior...

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...

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...