Academic Journal

On Calibration Weighting

التفاصيل البيبلوغرافية
العنوان: On Calibration Weighting
المؤلفون: Phillip S. Kott
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.nass.usda.gov/Education_and_Outreach/Reseach_Reports/2003-jsm-kott.pdf.
المجموعة: CiteSeerX
مصطلحات موضوعية: KEY WORDS, Model unbiased, Randomization consistent, Randomizationoptimal estimator, Raking, Nonresponse, Local polynomial regression, Jackknife variance estimator, Coverage adjustment
الوصف: Calibration weighting is a methodology under which probability-sample weights are adjusted in such a way that when applied to survey data they can produce model-unbiased estimators for a number of different target variables. This paper briefly reviews the history of calibration weighting before the term was coined and some major developments since then. A change in the definition of a calibration estimator is recommended. This change expands the class to include such special cases as, 1, randomization-optimal estimators, and, 2, randomization-consistent estimators incorporating local polynomial regression. Although originally developed as a method for reducing sampling errors, calibration weighting has also been applied to adjust for unit nonresponse and for coverage errors. A variant of the jackknife variance estimator proposed here should prove computationally convenient for these applications.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.7473; http://www.nass.usda.gov/Education_and_Outreach/Reseach_Reports/2003-jsm-kott.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.7473
http://www.nass.usda.gov/Education_and_Outreach/Reseach_Reports/2003-jsm-kott.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.9A0383A9
قاعدة البيانات: BASE