Stratified Ranked Set Sampling With Missing Observations for Estimating the Difference

2022 ◽  
pp. 209-232
Author(s):  
Carlos N. Bouza-Herrera
Keyword(s):  
Random Sampling ◽  
Real Data ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Missing Observations ◽  
Seminal Paper ◽  
Sample Error ◽  
The Difference ◽  
Stratified Ranked Set Sampling ◽  
Stratified Model

The authors develop the estimation of the difference of means of a pair of variables X and Y when we deal with missing observations. A seminal paper in this line is due to Bouza and Prabhu-Ajgaonkar when the sample and the subsamples are selected using simple random sampling. In this this chapter, the authors consider the use of ranked set-sampling for estimating the difference when we deal with a stratified population. The sample error is deduced. Numerical comparisons with the classic stratified model are developed using simulated and real data.

scholarly journals Sensitive proportion in ranked set sampling

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256699
Author(s):  
Azhar Mehmood Abbasi ◽  
Muhammad Yousaf Shad
Keyword(s):  
Numerical Integration ◽  
Random Sampling ◽  
Unbiased Estimator ◽  
Real Data ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Ratio Method ◽  
Integration Technique ◽  
Sampling Cost ◽  
Rank Set Sampling

This paper considers the concomitant-based rank set sampling (CRSS) for estimation of the sensitive proportion. It is shown that CRSS procedure provides an unbiased estimator of the population sensitive proportion, and it is always more precise than corresponding sample sensitive proportion (Warner SL (1965)) that based on simple random sampling (SRS) without increasing sampling cost. Additionally, a new estimator based on ratio method is introduced using CRSS protocol, preserving the respondent’s confidentiality through a randomizing device. The numerical results of these estimators are obtained by using numerical integration technique. An application to real data is also given to support the methods.

On Estimating Population Means of Two-Sensitive Variables With Ranked Set Sampling Design

2022 ◽  
pp. 42-61
Author(s):  
Agustin Santiago Moreno ◽  
Khalid Ul Islam Rather
Keyword(s):  
Empirical Evidence ◽  
Simulation Study ◽  
Random Sampling ◽  
Relative Efficiency ◽  
Convex Combination ◽  
Real Data ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Population Means ◽  
Sampling Schemes

In this chapter, the authors consider the problem of estimating the population means of two sensitive variables by making use ranked set sampling. The final estimators are unbiased and the variance expressions that they derive show that ranked set sampling is more efficient than simple random sampling. A convex combination of the variance expressions of the resultant estimators is minimized in order to suggest optimal sample sizes for both sampling schemes. The relative efficiency of the proposed estimators is then compared to the corresponding estimators for simple random sampling based on simulation study and real data applications. SAS codes utilized in the simulation to collect the empirical evidence and application are included.

On Estimating Population Means of Two-Sensitive Variables With Ranked Set Sampling Design

2022 ◽  
pp. 104-140
Author(s):  
Shivacharan Rao Chitneni ◽  
Stephen A. Sedory ◽  
Sarjinder Singh
Keyword(s):  
Empirical Evidence ◽  
Simulation Study ◽  
Random Sampling ◽  
Relative Efficiency ◽  
Convex Combination ◽  
Real Data ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Population Means ◽  
Sampling Schemes

In the chapter, the authors consider the problem of estimating the population means of two sensitive variables by making use of ranked set sampling. The final estimators are unbiased and the variance expressions that they derive show that ranked set sampling is more efficient than simple random sampling. A convex combination of the variance expressions of the resultant estimators is minimized in order to suggest optimal sample sizes for both sampling schemes. The relative efficiency of the proposed estimators is then compared to the corresponding estimators for simple random sampling based on simulation study and real data applications. SAS codes utilized in the simulation to collect the empirical evidence and application are included.

ON EXTROPY PROPERTIES AND DISCRIMINATION INFORMATION OF DIFFERENT STRATIFIED SAMPLING SCHEMES

2021 ◽  
pp. 1-16
Author(s):  
Abbas Eftekharian ◽  
Guoxin Qiu
Keyword(s):  
Random Sampling ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Stochastic Orders ◽  
Data Sets ◽  
Sampling Schemes ◽  
Discrimination Information ◽  
Imperfect Ranking ◽  
Stratified Ranked Set Sampling ◽  
Better Than

Ranked set sampling (RSS) and some of its variants are sampling designs that are applied widely in different areas. When the underlying population contains different subpopulations, we can use stratified ranked set sampling (SRSS) which combines the advantages of stratification with RSS. In the present paper, we consider the information content of SRSS in terms of extropy measure. Some results using stochastic orders properties are obtained. The effect of imperfect ranking on discrimination information is analytically investigated. It is proved that discrimination information between the perfect SRSS and simple random sampling (SRS) data sets performs better than that of between the imperfect SRSS and SRS data sets.

scholarly journals ANALISIS PEMASARAN ANEKA KREASI ANYAMAN PURUN DI DESA TANJUNG ATAP KABUPATEN OGAN ILIR

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Eka Mulyana ◽  
Rahmi Yasmin
Keyword(s):  
Random Sampling ◽  
Direct Marketing ◽  
Simple Random Sampling ◽  
Marketing Channels ◽  
Primary Data ◽  
Agricultural Product ◽  
Creative Industry ◽  
The Difference ◽  
The Village ◽  
Formation Of Groups

ABSTRAKPenelitian ini bertujuan : (1) mendeskripsikan saluran pemasaran setiap produk yang dihasilakan pengrajin anyaman purun dan (2) mengitung marjin pemasaran dan farmer’s share dari setiap produk yang dihasilkan pengrajin anyaman purun di Desa Tajung Atap Kecamatan Tanjung Batu Kabupaten Ogan Ilir Sumatera Selatan.  Waktu pelaksanaan praktik lapangan ini dilaksanaan pada bulan Januari 2018. Dara yang dikumpulkan pada penelitian ini yaitu metode pengumpulan data primer dan metode pengumpulan data sekunder.  Penarikan contoh di Desa Tanjung Atap Kecamatan Tanjung Batu Kabupaten Ogan Ilir dilakukan secara sederhana (Simple Random Sampling).  Pemasaran aneka kreasi anyaman purun di Desa Tanjung Atap terdapat dua pola saluran pemasaran. yaitu saluran pemasaran langsung yakni saluran pemasaran dari produsen ke konsumen tanpa menggunakan perantara. dan saluran pemasaran satu perantara yaitu menggunakan satu perantara pengecer dalam hal ini adalah pihak Universitas Sriwijaya Program Studi Sosial Ekonomi Pertanian dimana memang dari awal pembentukan kelompok pihak Unsri yang membantu membimbing para pengrajin sehingga aneka kreasi anyaman tikar purun mampu bersaing dipasaran. Dari setiap perhitungan marjin pemasaran dan farmer’s share untuk setiap produk yang dihasilkan dapat kita ketahui bahwasanya perbedaan harga ditingkat pengrajin dan konsumen rata-rata kurang lebih sebesar Rp 5.000/produk.   Kata Kunci : Aneka produk anyaman purun. Marjin pemasaran. Farmer’s share. Kewirausahaan. Industri Kreatif ABSTRACTThis research is required to: (1) describe marketing channels of each product produced by woven craftsmen and (2) to calculate marketing margin and agricultural product from each product produced by woven craftsmen in Tajung Atap Village. Tanjung Batu Subdistrict. Ogan Ilir Regency of South Sumatra. The timing of implementation of this practice was carried out on January 2018. The comprehensive data on this research was the method of primary data and methods. Sampling in Tanjung Atap Village. Tanjung Batu Subdistrict. Ogan Ilir Regency is done by Simple Random Sampling. Marketing of various wicker creations in the village of Tanjung Atap There was two patterns of marketing channels. namely direct marketing channels from marketing sales from producers to consumers without the use of booths. and marketing channels one thing was a single retailer in this case was the Sriwijaya University Economic Social Studies Program Agriculture where it was from the beginning of the formation of groups of Unsri who helped guide the craftsmen so that various creations mat woven purun able to compete in the market. From each calculation of marketing margin and farmer share for each product produced we can know that the difference in price at the level of craftsmen and consumers on average less than Rp 5.000 / product. Keywords: various products of woven purun, Margin marketing, Farmer's share. Entrepreneurship. Creative Industry

Ratio-Type Estimation Using Scrabled Auxiliary Variables in Stratification Under Simple Random Sampling and Ranked Set Sampling

2022 ◽  
pp. 62-85
Author(s):  
Carlos N. Bouza-Herrera ◽  
Jose M. Sautto ◽  
Khalid Ul Islam Rather
Keyword(s):  
Random Sampling ◽  
Mean Squared Error ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Auxiliary Variables ◽  
Mild Conditions ◽  
Squared Error ◽  
The Mean ◽  
Better Than

This chapter introduced basic elements on stratified simple random sampling (SSRS) on ranked set sampling (RSS). The chapter extends Singh et al. results to sampling a stratified population. The mean squared error (MSE) is derived. SRS is used independently for selecting the samples from the strata. The chapter extends Singh et al. results under the RSS design. They are used for developing the estimation in a stratified population. RSS is used for drawing the samples independently from the strata. The bias and mean squared error (MSE) of the developed estimators are derived. A comparison between the biases and MSEs obtained for the sampling designs SRS and RSS is made. Under mild conditions the comparisons sustained that each RSS model is better than its SRS alternative.

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