کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
415404 681206 2014 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Small area prediction for a unit-level lognormal model
ترجمه فارسی عنوان
پیش بینی مساحت کوچک برای یک مدل منطق نگاری سطح واحد
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی

Many variables of interest in business and agricultural surveys have skewed distributions. Small area estimation methods are investigated under an assumption that the lognormal model is a reasonable approximation for the distribution of the response given covariates. Closed form expressions for an empirical Bayes (EB) predictor and for the associated mean squared error estimator are derived. In simulation studies, the EB predictors are more efficient than model-based direct and synthetic estimators previously proposed for lognormal data. Also, coverage of confidence intervals for the lognormal predictions approximate the nominal coverage. The simulations also demonstrate that the suggested predictor is robust to departures from the assumptions of the lognormal model. The methodology is successfully applied to estimate erosion rates for hydrologic units using data from the Conservation Effects Assessment Project.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 78, October 2014, Pages 159–175
نویسندگان
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