کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417371 681494 2006 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification
چکیده انگلیسی

In this paper we derive five first-order likelihood-based confidence intervals for a population proportion parameter based on binary data subject to false-positive misclassification and obtained using a double sampling plan. We derive confidence intervals based on certain combinations of likelihood, Fisher-information types, and likelihood-based statistics. Using Monte Carlo methods, we compare the coverage properties and average widths of three new confidence intervals for a binomial parameter. We determine that an interval estimator derived from inverting a score-type statistic is superior in terms of coverage probabilities to three competing interval estimators for the parameter configurations examined here. Utilizing the expressions derived, we also determine confidence intervals for a binary parameter using real data subject to false-positive misclassification.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 12, August 2006, Pages 3369–3385
نویسندگان
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