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Journals / Nüfusbilim Dergisi / 2014 / Cilt: 34 - Sayı: 1

RATIO ESTIMATORS IN POST-STRATIFICATION

SONRADAN TABAKALAMADA ORANSAL TAHMİN EDİCİLER

Sevil BACANLI
Eda Evin AKSU
Pages
3–15
Publication Date
2016-08-05
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

An application is carried out to show the superiority of the suggested ratio-estimators in post-stratification under the guidance of Turkey 2000 Population Census data.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, some ratio-type estimators are taken into consideration in literature and their properties are studied in post-stratification.
📊
Key Findings & Data:Within the frame work of the data from 2000 General Population size Census of Turkey which was carried out by the Turkish Statistical Institute (TURKSTAT), average employment has been estimated, and the population is taken as auxiliary variable by NUTS-1 Level.
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Conclusion & Impact:An application is carried out to show the superiority of the suggested ratio-estimators in post-stratification under the guidance of Turkey 2000 Population Census data.
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Domain Parameters

Abstract

In this study, some ratio-type estimators are taken into consideration in literature and their properties are studied in post-stratification. Mean square error (MSE) of all ratio estimators in post-stratification is obtained and compared with the MSE of classical estimators in stratified random sampling. Within the frame work of the data from 2000 General Population size Census of Turkey which was carried out by the Turkish Statistical Institute (TURKSTAT), average employment has been estimated, and the population is taken as auxiliary variable by NUTS-1 Level. An application is carried out to show the superiority of the suggested ratio-estimators in post-stratification under the guidance of Turkey 2000 Population Census data.

Özet

Bu çalışmada, literatürde verilen oransal tahmin edicilerin sonradan tabakalama yönteminde kullanımı incelenmiştir. Hata kareler ortalaması (HKO) elde edilmiş ve tabakalı rasgele örneklemede verilen oransal tahmin edicilerin HKO ile karşılaştırılmıştır. Türkiye İstatistik Kurumu tarafından gerçekleştirilen 2000 Türkiye Genel Nüfus Sayımı sonuçlarından idari birim bazında istihdam ve nüfus değerleri kullanılarak İstatistiki Bölge Birimleri Sınıflaması Düzey-1 bazında ortalama istihdam tahmin edilmiştir. Uygulama sonuçlarına göre sonradan tabakalama için önerilen oransal tahmin edicilerin daha iyi sonuç verdiği gösterilmiştir.

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Cite This Article

BACANLI, S., AKSU, E. E. (2016). RATIO ESTIMATORS IN POST-STRATIFICATION. Nüfusbilim Dergisi, Cilt: 34 - Sayı: 1, 3–15. https://ajindex.com/articles/841067

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References (8)

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