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Theory & Method

Variance Estimation Using Auxiliary Information

Pages 117-123 | Received 01 Aug 1980, Published online: 12 Mar 2012

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Muhammad Nouman Qureshi, Muhammad Umair Tariq & Muhammad Hanif. (2024) Memory-type ratio and product estimators for population variance using exponentially weighted moving averages for time-scaled surveys. Communications in Statistics - Simulation and Computation 53:3, pages 1484-1493.
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Muhammad Umair Sohail, Fariha Sohil & Javid Shabbir. (2023) Comparative study of different imputation methods. Communications in Statistics - Simulation and Computation 52:8, pages 3452-3474.
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Tolga Zaman & Hasan Bulut. (2023) An efficient family of robust-type estimators for the population variance in simple and stratified random sampling. Communications in Statistics - Theory and Methods 52:8, pages 2610-2624.
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Aamir Sanaullah, Iqra Niaz, Javid Shabbir & Iqra Ehsan. (2022) A class of hybrid type estimators for variance of a finite population in simple random sampling. Communications in Statistics - Simulation and Computation 51:10, pages 5609-5619.
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Veronica I. Salinas, Stephen A. Sedory & Sarjinder Singh. (2022) Higher order calibrated estimator in two-stage sampling. Communications in Statistics - Theory and Methods 51:10, pages 3164-3180.
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Garib Nath Singh & Mohd Khalid. (2022) A composite class of estimators to deal with the issue of variance estimation under the situations of random non-response in two-occasion successive sampling. Communications in Statistics - Simulation and Computation 51:4, pages 1454-1473.
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Shashi Bhushan & Abhay Pratap Pandey. (2021) Optimal estimation of population variance in the presence of random non-response using simulation approach. Journal of Statistical Computation and Simulation 91:18, pages 3814-3827.
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Lovleen Kumar Grover & Amanpreet Kaur. (2021) On improvement in variance estimation using ranks of original auxiliary variable as an additional auxiliary variable. Journal of Statistics and Management Systems 24:5, pages 1041-1057.
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Umer Daraz & Mursala Khan. (2021) Estimation of variance of the difference-cum-ratio-type exponential estimator in simple random sampling. RMS: Research in Mathematics & Statistics 8:1.
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Rajesh Singh, Gautam Kumar Vishwakarma & Prabhakar Mishra. (2020) A note on the estimators for coefficient of dispersion using auxiliary information. Communications in Statistics - Simulation and Computation 49:9, pages 2347-2356.
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Muhammad Awais Gulzar, Muhammad Abid, Hafiz Zafar Nazir, Faisal Maqbool Zahid & Muhammad Riaz. (2020) On enhanced estimation of population variance using unconventional measures of an auxiliary variable. Journal of Statistical Computation and Simulation 90:12, pages 2180-2197.
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Uzma Yasmeen & Mary Thompson. (2020) Variance estimation in adaptive cluster sampling. Communications in Statistics - Theory and Methods 49:10, pages 2485-2497.
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Sana Kaleem, Hina Khan & Muhammad Aslam. (2020) Generalized regression cum ratio estimators of population variance in two phase sampling. Journal of Statistics and Management Systems 23:3, pages 663-676.
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Nadia Mushtaq & Muhammad Noor-Ul-Amin. (2019) Generalized variance estimators using randomized device in the presence of auxiliary information. Journal of Statistics and Management Systems 22:8, pages 1417-1424.
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Muhammad Nouman Qureshi, Sadia Khalil, Chang-Tai Chao & Muhammad Hanif. (2019) Estimation of rare and clustered population variance in adaptive cluster sampling. Communications in Statistics - Theory and Methods 48:21, pages 5387-5400.
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Subhash Kumar Yadav, Sant Sharan Mishra & Sat Gupta. (2019) An efficient estimator for population variance using parameters of an auxiliary variable. Journal of Statistics and Management Systems 22:6, pages 1005-1013.
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Muhammad Nouman Qureshi, Naureen Riaz & Muhammad Hanif. (2019) Generalized estimator for the estimation of rare and clustered population variance in adaptive cluster sampling. Journal of Statistical Computation and Simulation 89:11, pages 2084-2101.
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Muhammad Hanif & Usman Shahzad. (2019) Estimation of population variance using kernel matrix. Journal of Statistics and Management Systems 22:3, pages 563-586.
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Siraj Muneer, Alamgir Khalil, Javid Shabbir & Ghulam Narjis. (2018) A new improved ratio-product type exponential estimator of finite population variance using auxiliary information. Journal of Statistical Computation and Simulation 88:16, pages 3179-3192.
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Tanja Zatezalo, Sat Gupta, Subhash Kumar Yadav & Javid Shabbir. (2018) Assessing the adequacy of first order approximations in ratio type estimators. Journal of Interdisciplinary Mathematics 21:6, pages 1395-1411.
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Muhammad Noor-Ul-Amin, Uzma Yasmeen & Muhammad Hanif. (2018) Generalized variance estimators in adaptive cluster sampling using single auxiliary variable. Journal of Statistics and Management Systems 21:3, pages 401-415.
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Housila P. Singh, Surya K. Pal & Anita Yadav. (2018) A study on the chain ratio-ratio-type exponential estimator for finite population variance. Communications in Statistics - Theory and Methods 47:6, pages 1442-1458.
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Mazhar Yaqub, Javid Shabbir & Sat Narian Gupta. (2017) Estimation of population mean based on dual use of auxiliary information in non response. Communications in Statistics - Theory and Methods 46:24, pages 12130-12151.
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Housila P. Singh & Surya K. Pal. (2017) Improvement over variance estimation using auxiliary information in sample surveys. Communications in Statistics - Theory and Methods 46:15, pages 7732-7750.
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G. N. Singh, A. K. Sharma & A. Bandyopadhyay. (2017) Effectual variance estimation strategy in two-occasion successive sampling in presence of random non response. Communications in Statistics - Theory and Methods 46:14, pages 7201-7224.
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Housila P. Singh & Surya K. Pal. (2017) A class of exponential-type ratio estimators of a general parameter. Communications in Statistics - Theory and Methods 46:8, pages 3957-3984.
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Amin Ghalamfarsa Mostofi & Mahmood Kharrati-Kopaei. (2017) Ratio- and difference-type estimators for estimating finite population variance. Communications in Statistics - Theory and Methods 46:7, pages 3542-3555.
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Housila P. Singh & Surya K. Pal. (2017) Estimation of population variance using known coefficient of variation of an auxiliary variable in sample surveys. Journal of Statistics and Management Systems 20:1, pages 91-111.
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Hilal A. Lone & Rajesh Tailor. (2017) Estimation of population variance in simple random sampling. Journal of Statistics and Management Systems 20:1, pages 17-38.
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Housila P. Singh & Surya K. Pal. (2016) An efficient class of estimators of finite population variance using quartiles. Journal of Applied Statistics 43:10, pages 1945-1958.
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F. Jay Breidt, Jean D. Opsomer & Ismael Sanchez-Borrego. (2016) Nonparametric Variance Estimation Under Fine Stratification: An Alternative to Collapsed Strata. Journal of the American Statistical Association 111:514, pages 822-833.
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Hyeseon Lee, Muhammad Aslam, Qurat-ul-ain Shakeel, Wonji Lee & Chi-Hyuck Jun. (2015) A control chart using an auxiliary variable and repetitive sampling for monitoring process mean. Journal of Statistical Computation and Simulation 85:16, pages 3289-3296.
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Sarjinder Singh, Stephen A. Sedory & Raghunath Arnab. (2015) Estimation of Finite Population Variance Using Scrambled Responses in the Presence of Auxiliary Information. Communications in Statistics - Simulation and Computation 44:4, pages 1050-1065.
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Subhash Kumar Yadav, Cem Kadilar, Javid Shabbir & Sat Gupta. (2015) Improved Family of Estimators of Population Variance in Simple Random Sampling. Journal of Statistical Theory and Practice 9:2, pages 219-226.
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Gamze Özel, Hülya Çingi & Merve Oğuz. (2014) Separate Ratio Estimators for the Population Variance in Stratified Random Sampling. Communications in Statistics - Theory and Methods 43:22, pages 4766-4779.
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Rohini Yadav, LakshmiN. Upadhyaya, HousilaP. Singh & S. Chatterjee. (2014) A Class of Estimators of Population Variance Using Auxiliary Information in Sample Surveys. Communications in Statistics - Theory and Methods 43:6, pages 1248-1260.
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HousilaP. Singh & RamkrishnaS. Solanki. (2013) Improved Estimation of Finite Population Variance Using Auxiliary Information. Communications in Statistics - Theory and Methods 42:15, pages 2718-2730.
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Rohini Yadav, LakshmiN. Upadhyaya, HousilaP. Singh & S. Chatterjee. (2013) A Generalized Family of Transformed Ratio-Product Estimators for Variance in Sample Surveys. Communications in Statistics - Theory and Methods 42:10, pages 1839-1850.
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S. Sampath & S. Ammani. (2012) Finite-population variance estimation under systematic sampling schemes with multiple random starts. Journal of Statistical Computation and Simulation 82:8, pages 1207-1221.
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Sarjinder Singh, Jong-Min Kim, Hakjin Jang & Stephen Horn. (2011) Truncated Midzuno–Sen Sampling Schemes for Estimating Distribution Functions. Communications in Statistics - Simulation and Computation 40:7, pages 1096-1110.
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P. A. Patel & Jigna S. Patel. (2010) A Monte Carlo comparison of some variance estimators of the Horvitz–Thompson estimator. Journal of Statistical Computation and Simulation 80:5, pages 489-502.
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Lovleen Kumar Grover. (2010) A Correction Note on Improvement in Variance Estimation Using Auxiliary Information. Communications in Statistics - Theory and Methods 39:5, pages 753-764.
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S. Sampath. (2009) Finite Population Variance Estimation Under LSS with Multiple Random Starts. Communications in Statistics - Theory and Methods 38:19, pages 3596-3607.
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HousilaP. Singh & Namrata Karpe. (2009) A Class of Estimators Using Auxiliary Information for Estimating Finite Population Variance in Presence of Measurement Errors. Communications in Statistics - Theory and Methods 38:5, pages 734-741.
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HousilaP. Singh & GajendraK. Vishwakarma. (2008) Some Families of Estimators of Variance of Stratified Random Sample Mean Using Auxiliary Information. Journal of Statistical Theory and Practice 2:1, pages 21-43.
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Javid Shabbir & Sat Gupta. (2007) On Improvement in Variance Estimation Using Auxiliary Information. Communications in Statistics - Theory and Methods 36:12, pages 2177-2185.
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Cem Kadilar & Hulya Cingi. (2007) Improvement in Variance Estimation in Simple Random Sampling. Communications in Statistics - Theory and Methods 36:11, pages 2075-2081.
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Javid Shabbir & Sat Gupta. (2006) On estimation of finite population variance. Journal of Interdisciplinary Mathematics 9:2, pages 405-419.
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Lakshmi N. Upadhyaya & Housila P. Singh. (2001) Estimation of the Population Standard Deviation Using Auxiliary Information. American Journal of Mathematical and Management Sciences 21:3-4, pages 345-358.
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B. Prasad & H. P. Singh. (1992) Unbiased estimators of finite population variance using auxiliary information in sample surveys. Communications in Statistics - Theory and Methods 21:5, pages 1367-1376.
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Zhao Ouyang, Hans T. Schreuder & Junfang Li. (1991) Regression estimation under sampling with one unit per stratum. Communications in Statistics - Theory and Methods 20:8, pages 2431-2449.
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B. Prasad & H.P. Singh. (1990) Some improved ratio-type estimators of finite population variance in sample surveys. Communications in Statistics - Theory and Methods 19:3, pages 1127-1139.
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Charles Wafula. (1988) On estimating the variance of the ratio estimator. Statistics 19:4, pages 565-574.
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Barry L. Nelson & Bruce W. Schmeiser. (1986) Decomposition of some weil-known variance reduction techniques . Journal of Statistical Computation and Simulation 23:3, pages 183-209.
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Vinay Kumar Yadav & Shakti Prasad. Neutrosophic Estimators for Estimating the Population Mean in Survey Sampling. Measurement: Interdisciplinary Research and Perspectives 0:0, pages 1-25.
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Abdul Haq, Muhammad Usman & Manzoor Khan. Estimation of Finite Population Variance Under Stratified Sampling in the Presence of Measurement Errors. Measurement: Interdisciplinary Research and Perspectives 0:0, pages 1-16.
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Sunil Kumar, Sanam Preet Kour & Housila P. Singh. Applying ORRT for the estimation of population variance of sensitive variable. Communications in Statistics - Simulation and Computation 0:0, pages 1-11.
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J. SubramaniG. Kumarapandiyan. (2015) A Class of Modified Ratio Estimators for Estimation of Population Variance. Journal of Applied Mathematics, Statistics and Informatics 11:1, pages 91-114.
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Hilal A. Lone, Rajesh Tailor, Housila P. Singh & Med Ram Verma. (2014) New alternatives to ratio estimators of population variance in sample surveys. Applied Mathematics and Computation 247, pages 255-265.
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J.F. Muñoz, A. Arcos, E. Álvarez & M. Rueda. (2014) New ratio and difference estimators of the finite population distribution function. Mathematics and Computers in Simulation 102, pages 51-61.
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Rajesh Singh & Sachin Malik. (2014) Improved estimation of population variance using information on auxiliary attribute in simple random sampling. Applied Mathematics and Computation 235, pages 43-49.
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Yunusa Olufadi & Cem Kadilar. (2014) A Study on the Chain Ratio-Type Estimator of Finite Population Variance. Journal of Probability and Statistics 2014, pages 1-5.
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Subhash Kumar Yadav & Cem Kadilar. (2014) A two parameter variance estimator using auxiliary information. Applied Mathematics and Computation 226, pages 117-122.
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G.N. Singh, Priyanka Priyanka, Shakti Prasad, Sarjinder Singh & Jong-Min Kim. (2013) A Class of Estimators for Population Variance in Two Occasion Rotation Patterns. Communications for Statistical Applications and Methods 20:4, pages 247-257.
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