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Journal articles on the topic 'Stratified sampling'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Mandal, B. N., Rajender Parsad, V. K. Gupta, and U. C. Sud. "Nested stratified sampling." Model Assisted Statistics and Applications 3, no. 3 (2008): 211–23. http://dx.doi.org/10.3233/mas-2008-3305.

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2

Sedgwick, P. "Stratified cluster sampling." BMJ 347, no. 22 3 (2013): f7016. http://dx.doi.org/10.1136/bmj.f7016.

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3

Saini, Monika, and Ashish Kumar. "Ratio estimators using stratified random sampling and stratified ranked set sampling." Life Cycle Reliability and Safety Engineering 8, no. 1 (2018): 85–89. http://dx.doi.org/10.1007/s41872-018-0046-8.

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4

Saunders, Ian W., and Geoffrey K. Robinson. "Restricted stratified random sampling." International Journal of Mineral Processing 25, no. 3-4 (1989): 159–66. http://dx.doi.org/10.1016/0301-7516(89)90015-x.

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5

THOMPSON, STEVEN K. "Stratified adaptive cluster sampling." Biometrika 78, no. 2 (1991): 389–97. http://dx.doi.org/10.1093/biomet/78.2.389.

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6

Stellingwerf, D. A., and S. Lwin. "Stratified sampling compared with two-phase stratified cluster sampling for timber volume estimation." Netherlands Journal of Agricultural Science 33, no. 2 (1985): 151–60. http://dx.doi.org/10.18174/njas.v33i2.16861.

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Two sampling methods were compared on orthophotos (scale 1:10 000) of a rectangular 12 855-ha area of intensively managed Norway spruce forest in Upper Austria. Trees other than spruce >40 yr old were ignored. 'Method 1' used stratified cluster sampling to determine the area proportion of spruce in the total area: 2 clusters of 5 circular 0.05-ha photo plots were randomly selected within each of 8 rectangular sub-blocks in each of 72 blocks into which the area was 'stratified' (systematically divided). Vol. was determined by 2-phase sampling: (i) 2 clusters were randomly selected in each bl

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7

Sisodia, B. V. S., Subedar Singh, and Sanjay K. Singh. "Calibration approach estimation of the mean in stratified sampling and stratified double sampling." Communications in Statistics - Theory and Methods 46, no. 10 (2016): 4932–42. http://dx.doi.org/10.1080/03610926.2015.1091083.

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8

Gui, Wenli, Liping Jing, Liu Yang, and Jian Yu. "Unsupervised Cross-Language Classification with Stratified Sampling-Based Cluster Ensemble." International Journal of Machine Learning and Computing 5, no. 3 (2015): 165–71. http://dx.doi.org/10.7763/ijmlc.2015.v5.502.

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9

Iliyasu, Rufai, and Ilker Etikan. "Comparison of quota sampling and stratified random sampling." Biometrics & Biostatistics International Journal 10, no. 1 (2021): 24–27. http://dx.doi.org/10.15406/bbij.2021.10.00326.

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The possibility that researchers should be able to obtain data from all cases is questionable. There is a need; therefore, this article provides a probability and non-probability sampling. In this paper we studied the differences and similarities of the two with approach that is more of fritter away time, cost sufficient with energy required throughout the sample observed. The pair shows the differences and similarities between them, different articles were reviewed to compare the two. Quota sampling and Stratified sampling are close to each other. Both require the division into groups of the

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10

Ryu, Jea-Bok, Jong-Min Kim, Tae-Young Heo, and Chun Gun Park. "On stratified randomized response sampling." Model Assisted Statistics and Applications 1, no. 1 (2005): 31–36. http://dx.doi.org/10.3233/mas-2006-1106.

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11

Quinn, J. A., F. C. Langbein, Yu-Kun Lai, and R. R. Martin. "Generalized Anisotropic Stratified Surface Sampling." IEEE Transactions on Visualization and Computer Graphics 19, no. 7 (2013): 1143–57. http://dx.doi.org/10.1109/tvcg.2012.305.

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12

Sankoh, Abdul J. "Bayesian optimal stratified sampling design." Communications in Statistics - Theory and Methods 21, no. 11 (1992): 3185–96. http://dx.doi.org/10.1080/03610929208830970.

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13

Laine, Samuli, and Tero Karras. "Stratified Sampling for Stochastic Transparency." Computer Graphics Forum 30, no. 4 (2011): 1197–204. http://dx.doi.org/10.1111/j.1467-8659.2011.01978.x.

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14

Ruiz Espejo, M. "A control in stratified sampling." Statistics 18, no. 2 (1987): 287–91. http://dx.doi.org/10.1080/02331888708802017.

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15

Sastry, S. Subramanya, Rastislav Bodík, and James E. Smith. "Rapid profiling via stratified sampling." ACM SIGARCH Computer Architecture News 29, no. 2 (2001): 278–89. http://dx.doi.org/10.1145/384285.379273.

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16

Tipton, Elizabeth. "Stratified Sampling Using Cluster Analysis." Evaluation Review 37, no. 2 (2013): 109–39. http://dx.doi.org/10.1177/0193841x13516324.

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17

Fleischer, Karlheinz. "Stratified sampling using double samples." Statistical Papers 31, no. 1 (1990): 55–63. http://dx.doi.org/10.1007/bf02924674.

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18

Imbens, Guido W., and Tony Lancaster. "Efficient estimation and stratified sampling." Journal of Econometrics 74, no. 2 (1996): 289–318. http://dx.doi.org/10.1016/0304-4076(95)01756-9.

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19

Christofides, Tasos C. "Randomized response in stratified sampling." Journal of Statistical Planning and Inference 128, no. 1 (2005): 303–10. http://dx.doi.org/10.1016/j.jspi.2003.11.001.

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20

Arvo, James, and Kevin Novins. "Stratified Sampling of Convex Quadrilaterals." Journal of Graphics Tools 12, no. 2 (2007): 1–12. http://dx.doi.org/10.1080/2151237x.2007.10129238.

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21

Mahdizadeh, M., and Ehsan Zamanzade. "Stratified pair ranked set sampling." Communications in Statistics - Theory and Methods 47, no. 24 (2017): 5904–15. http://dx.doi.org/10.1080/03610926.2017.1402053.

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22

Panahbehagh, Bardia. "Stratified and ranked composite sampling." Communications in Statistics - Simulation and Computation 49, no. 2 (2018): 504–15. http://dx.doi.org/10.1080/03610918.2018.1487067.

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23

Mukherjee, S. P. "Stratified Sampling: Some Associated Problems." Calcutta Statistical Association Bulletin 75, no. 1 (2023): 48–59. http://dx.doi.org/10.1177/00080683231178454.

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Stratified sampling has been commonly used in many large-scale surveys. The two inter-related problems of determining strata boundaries where strata have to be developed using some variable(s) whose values can be accessed while designing the survey and of allocating the total sample size among the strata have been studied during a long period, initially without involving mathematical programming and subsequently using concurrent developments in constrained optimization methods and algorithms. The present article provides a critique of some of these studies, especially those dealing with multip

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24

Ozturk, Omer. "Post-stratified Probability-Proportional-to-Size Sampling from Stratified Populations." Journal of Agricultural, Biological and Environmental Statistics 24, no. 4 (2019): 693–718. http://dx.doi.org/10.1007/s13253-019-00370-6.

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25

Widodo, Valeno Glenedias, Yusep Suparman, and Gumgum Darmawan. "Sampling Design for Car Survey Using Stratified Random Sampling." Indonesian Journal of Contemporary Multidisciplinary Research 2, no. 5 (2023): 839–58. http://dx.doi.org/10.55927/modern.v2i5.5872.

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Perumda Pasar Juara wants to know the number of cars that enter the Kosambi Market parking area for one month. However, limited access to available data means that Perumda has to count vehicles manually. Therefore, an appropriate sampling design is needed to estimate the number of cars. The data used is the result of observations based on preliminary sampling on October 14-20, 2022 at 08:00-17:00 WIB. The variables of the data used are car arrival time, day dummy, and hour dummy. The method used is dummy regression analysis and stratified sampling design. The regression analysis results show t

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26

Adekunle, Nurudeen MASOPA, Anthony AGBONA Adisa, MUBARAK Sabiu, and Rukayat MASOPA Adefunke. "Consistency of Stratified Random Sampling Estimators in Repetive Sampling." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2024): 2635–39. https://doi.org/10.5281/zenodo.14410091.

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This study focuses on consistency of stratified random sampling in repeated sampling processes within a population with heterogeneous characteristics. The data for the study is a real life data on number of students in schools where the stratification is on the basis of ownership (public or private). Proportional allocation method was used to determine the number of units (schools) to be chosen from each stratum for a given sample size and four (4) independent samples of equal sample sizes were chosen and estimates of mean ,variance as well as confidence interval obtained with the estimators o

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27

Ko, Jieun, and Sungkil Lee. "Improved Stratified Sampling Using Dart Throwing." Journal of KIISE 48, no. 5 (2021): 527–32. http://dx.doi.org/10.5626/jok.2021.48.5.527.

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28

Rao, Dinesh Krishna, M. Khan, and G. Singh. "On calibrated weights in stratified sampling." ANZIAM Journal 59 (September 24, 2018): 190. http://dx.doi.org/10.21914/anziamj.v59i0.12668.

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29

Cao, Ricardo, José A. Vilar, Juan M. Vilar, and Ana K. López. "Sampling Error Estimation in Stratified Surveys." Open Journal of Statistics 03, no. 03 (2013): 200–212. http://dx.doi.org/10.4236/ojs.2013.33023.

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30

Roberts, Donald M. "Stratified Sampling Using a Stochastic Model." Journal of Accounting Research 24, no. 1 (1986): 111. http://dx.doi.org/10.2307/2490807.

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31

Arnab, Raghunath, George Anderson, John Olaomi, and B. C. Rodríguez. "Stratified Two-Phase Ranked Set Sampling." Pakistan Journal of Statistics and Operation Research 15, no. 4 (2019): 867. http://dx.doi.org/10.18187/pjsor.v15i4.2380.

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32

Chih-Shun Ding, Qing Wu, Cheng-Ta Hsieh, and M. Pedram. "Stratified random sampling for power estimation." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 17, no. 6 (1998): 465–71. http://dx.doi.org/10.1109/43.703828.

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33

Rush, Robert, John M. Mulvey, John E. Mitchell, and Thomas R. Willemain. "Stratified filtered sampling in stochastic optimization." Journal of Applied Mathematics and Decision Sciences 4, no. 1 (2000): 17–38. http://dx.doi.org/10.1155/s117391260000002x.

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We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distribution of performance associated with the strategy, and define an appropriate stratified sampling plan. An algorithm we call filtered search allows us to implement this plan efficiently. We demonstrate the approach's advantages with a problem in asset / liability management for an insurance company.

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34

Bethel, James. "Minimum Variance Estimation in Stratified Sampling." Journal of the American Statistical Association 84, no. 405 (1989): 260–65. http://dx.doi.org/10.1080/01621459.1989.10478764.

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35

Park, Hyeonah, Seongryong Na, and Jongwoo Jeon. "Compromise Allocation in Univariate Stratified Sampling." Communications in Statistics - Theory and Methods 36, no. 2 (2007): 265–71. http://dx.doi.org/10.1080/03610920600974609.

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36

Rao, T. J. "Near Optimum Allocations in Stratified Sampling." Journal of Statistical Theory and Practice 4, no. 1 (2010): 57–69. http://dx.doi.org/10.1080/15598608.2010.10411973.

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37

Ureña, Carlos, and Iliyan Georgiev. "Stratified Sampling of Projected Spherical Caps." Computer Graphics Forum 37, no. 4 (2018): 13–20. http://dx.doi.org/10.1111/cgf.13471.

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38

Kim, Jong-Min, Engin A. Sungur, and Tae-Young Heo. "Calibration approach estimators in stratified sampling." Statistics & Probability Letters 77, no. 1 (2007): 99–103. http://dx.doi.org/10.1016/j.spl.2006.05.015.

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39

Tong, Charles. "Refinement strategies for stratified sampling methods." Reliability Engineering & System Safety 91, no. 10-11 (2006): 1257–65. http://dx.doi.org/10.1016/j.ress.2005.11.027.

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40

Özgül, Nilgün. "New calibration estimator in stratified sampling." Journal of Statistical Computation and Simulation 88, no. 13 (2018): 2561–72. http://dx.doi.org/10.1080/00949655.2018.1478417.

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41

Pons, Odile. "Bootstrap of means under stratified sampling." Electronic Journal of Statistics 1 (2007): 381–91. http://dx.doi.org/10.1214/07-ejs033.

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42

Byun, Jong-Seok, Chang-Kyoon Son, and Jong-Min Kim. "Calibration for Spatial Stratified Sampling Design." Communications for Statistical Applications and Methods 17, no. 1 (2010): 9–16. http://dx.doi.org/10.5351/ckss.2010.17.1.009.

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43

Kjell, Gunnar. "The Level-Based Stratified Sampling Plan." Journal of the American Statistical Association 95, no. 452 (2000): 1185–91. http://dx.doi.org/10.1080/01621459.2000.10474319.

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44

Koyuncu, Nursel, and Cem Kadilar. "Calibration Weighting in Stratified Random Sampling." Communications in Statistics - Simulation and Computation 45, no. 7 (2014): 2267–75. http://dx.doi.org/10.1080/03610918.2014.901354.

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45

Corlay, Sylvain, and Gilles Pagès. "Functional quantization-based stratified sampling methods." Monte Carlo Methods and Applications 21, no. 1 (2015): 1–32. http://dx.doi.org/10.1515/mcma-2014-0010.

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AbstractIn this article, we propose several quantization-based stratified sampling methods to reduce the variance of a Monte Carlo simulation. Theoretical aspects of stratification lead to a strong link between optimal quadratic quantization and the variance reduction that can be achieved with stratified sampling. We first put the emphasis on the consistency of quantization for partitioning the state space in stratified sampling methods in both finite and infinite-dimensional cases. We show that the proposed quantization-based strata design has uniform efficiency among the class of Lipschitz c

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46

Shabbir, Javid, and Sat Gupta. "Improved Ratio Estimators in Stratified Sampling." American Journal of Mathematical and Management Sciences 25, no. 3-4 (2005): 293–311. http://dx.doi.org/10.1080/01966324.2005.10737653.

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47

Kadilar, C., and H. Cingi. "Ratio Estimators in Stratified Random Sampling." Biometrical Journal 45, no. 2 (2003): 218–25. http://dx.doi.org/10.1002/bimj.200390007.

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48

Omule, S. A. Y. "Optimum Design in Multivariate Stratified Sampling." Biometrical Journal 27, no. 8 (1985): 907–12. http://dx.doi.org/10.1002/bimj.4710270813.

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49

Deshpande, M. N., and S. G. Prabhu-Ajgaonkab. "On Allocation Problem in Stratified Sampling." Biometrical Journal 31, no. 5 (1989): 625–29. http://dx.doi.org/10.1002/bimj.4710310518.

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50

Hussein, Mounira. "Alternative Estimators for Stratified Random Sampling." Egyptian Statistical Journal 35, no. 2 (1991): 298–306. http://dx.doi.org/10.21608/esju.1991.315021.

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