Ratio Estimators in Stratified Random Sampling

By Cem Kadılar, Hulya Cingi. 2003

268 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f1db9018d9b94523639b93860a041679c2271676

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In Statistics and Probability

Citations in the corpus

On improvement in estimating population mean in stratified random sampling (2010, result): “In addition to these studies, Kadilar and Cingi [3], Shabbir and Gupta [6], Singh et al. [8], Singh and Vishwakarma [10], Koyuncu and Kadilar [5] extended the estimators suggested in a simple random sampling to the stratified random sampling.”
Ratio estimator for the population mean using ranked set sampling (2009, methodology): “We use data of Kadilar and Cingi (2003) in this section.”
Family of Estimators of Population Mean Using Two Auxiliary Variables in Stratified Random Sampling (2009, methodology): “In sampling literature, Kadilar and Cingi (2003), Shabbir and Gupta (2005), and Singh et al. (2008) used similar population information in the stratified random sampling when there is one auxiliary variable. There are some new estimators, such as k∗ 1, k ∗ 2, and k ∗ 3, generated from (21) and ȳR st”
Novel Log Type Class Of Estimators Under Ranked Set Sampling (2021, methodology): “The data is chosen from Kadilar and Cingi (2003) consist of the level of apple production and number of apple trees in 69 villages of South Anatolia Region in Turkey in 1999.”
A new procedure for variance estimation in simple random sampling using auxiliary information (2013, background): “…Srivastava (1971), Reddy (1973), Sisodia and Dwivedi (1981), Prasad (1989), Tracy et al. (1999), Upadhyaya and Singh (1999a), Singh and Tailor (2003), Kadilar and Cingi (2003, 2004), Gupta and Shabbir (2007, 2008a), Singh et al. (2008, 2009, 2010a), Koyuncu and Kadilar (2009), Singh and…”
Calibration approach estimators in stratified sampling (2007, background): “Kadilar and Cingi (2003) proposed various ratio estimators in stratified sampling.”
Improvement in Variance Estimation in Simple Random Sampling (2007, methodology): “Numerical Example We use the data of Kadilar and Cingi (2003) in this section.”
An improvement in estimating the population mean by using the correlation coefficient (2006, methodology): “An Application In this section we use the data set in Kadilar and Cingi [4].”
Estimators for the Population Mean in the Case of Missing Data (2008, methodology): “Numerical Illustration We have used the data of Kadilar and Cingi (2003) in this section.”
A New Ratio Estimator in Stratified Random Sampling (2005, methodology): “This theoretical result has also been satisfied by a numerical example, whereas Kadilar and Cingi (2003) found that combined ratio estimator was more efficient than the other estimators such as Sisodia and Dwivedi, Singh and Kakran, first and second estimators of Upadhyaya and Singh for the same…”
A modified estimator of population mean using power transformation (2008, methodology): “Through an empirical study Kadilar and Cingi (2003) have shown that the traditional combined ratio estimator YRc is more efficient than the ratio estimators Y,tsD, YstSX, Ysttzsl and .~stUS2; and remarked that, in the forthcoming studies, new ratio-type estimators should be proposed not only in si”
A Family of Estimators of Population Mean Using Auxiliary Information in Stratified Sampling (2008, unknown): “…∑L h=1 Whx̄h b = ∑L h=1 W 2 h hsxyh /∑L h=1 W 2 h hs 2 xh is sample regression coefficient of y on x, s2xh = 1 nh − 1 nh∑ i=1 xhi − x̄h 2 sxyh = 1 nh − 1 nh∑ i=1 xhi − x̄h yhi − ȳh Kadilar and Cingi (2003) have suggested some combined ratio estimators in stratified random sampling on the lines…”