Confidence Limits Made Easy: Interval Estimation Using a Substitution Method
نویسندگان
چکیده
منابع مشابه
Confidence limits made easy: interval estimation using a substitution method.
The use of confidence intervals has become standard in the presentation of statistical results in medical journals. Calculation of confidence limits can be straightforward using the normal approximation with an estimate of the standard error, and in particular cases exact solutions can be obtained from published tables. However, for a number of commonly used measures in epidemiology and clinica...
متن کاملConfidence-interval estimation using quasi-independent sequences
A quasi-independent (QI) subsequence is a subset of time-series observations obtained by systematic sampling. Because the observations appear to be independent, as determined by the runs tests, classical statistical techniques can be used on those observations directly. This paper discusses implementation of a sequential procedure to determine the simulation run length to obtain a QI subsequenc...
متن کاملA New Confidence Interval Method for the Estimation of Quantiles
Confidence intervals for the median of estimators or other quantiles were proposed as a substitute for usual confidence intervals in terminating and steady-state simulation. They are easy to obtain, the variance of the estimator is not used, they are well suited for correlated simulation output data, apply to functions of estimators, and in simulation they seem to be particularly accurate. For ...
متن کاملStereo Depth Estimation: A Confidence Interval Approach
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...
متن کاملUsing small bias nonparametric density estimators for confidence interval estimation
Confidence intervals for densities built on the basis of standard nonparametric theory are doomed to have poor coverage rates due to bias. Studies on coverage improvement exist, but reasonably behaved interval estimators are needed. We explore the use of small bias kernel-based methods to construct confidence intervals, in particular using a geometric density estimator that seems better suited ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 1998
ISSN: 0002-9262,1476-6256
DOI: 10.1093/oxfordjournals.aje.a009523