Confidence intervals with control of the sign error in low power settings
نویسنده
چکیده
When hypothesis tests of H0 : θ = 0 have low power, it is possible that their rejection can frequently be accompanied by an estimate θ̂ that has the wrong sign and significantly exaggerated magnitude. Such sign errors are less likely when the confidence interval for θ is well separated from 0, as measured in units of the confidence interval’s width. Sign errors can be controlled by declaring confidence in the sign of θ only when H0 is also rejected at a smaller level α2 = 2α1αS , where αS ≤ 1/2 is a user specified upper bound on the probability of a sign error given that H0 has been rejected. This procedure is a very simple form of inference after model selection: the selected model is that θ 6= 0 and the second inference is then on sign(θ).
منابع مشابه
CONFIDENCE INTERVALS WITH CONTROL OF THE SIGN ERROR IN LOW POWER SETTINGS By Art
When hypothesis tests of H0 : θ = 0 have low power, it is possible that their rejection can frequently be accompanied by an estimate θ̂ that has the wrong sign and significantly exaggerated magnitude. Such sign errors are less likely when the confidence interval for θ is well separated from 0, as measured in units of the confidence interval’s width. Sign errors can be controlled by declaring con...
متن کاملبرآورد فاصله اطمینان برای نسبتهای نزدیک به صفر و یک: یک مطالعه ثانویه مدل سازی
Background and Objectives: When computing a confidence interval for a binomial proportion p, one must choose an exact interval that has a coverage probability of at least 1-α for all values of p. In this study, we compared the confidence intervals of Clopper-Pearson, Wald, Wilson, and double ArcSin transformation in terms of maintaining a constant nominal type I error. Methods: Simulations w...
متن کاملConfidence Intervals for the Power of Two-Sided Student’s t-test
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.
متن کاملInference on Pr(X > Y ) Based on Record Values From the Power Hazard Rate Distribution
In this article, we consider the problem of estimating the stress-strength reliability $Pr (X > Y)$ based on upper record values when $X$ and $Y$ are two independent but not identically distributed random variables from the power hazard rate distribution with common scale parameter $k$. When the parameter $k$ is known, the maximum likelihood estimator (MLE), the approximate Bayes estimator and ...
متن کاملArea specific confidence intervals for a small area mean under the Fay-Herriot model
‎Small area estimates have received much attention from both private and public sectors due to the growing demand for effective planning of health services‎, ‎apportioning of government funds and policy and decision making‎. ‎Surveys are generally designed to give representative estimates at national or district level‎, ‎but estimates of variables of interest are oft...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016