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Relevant bibliographies by topics / Modified Systematic Sampling

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Journal articles

Academic literature on the topic 'Modified Systematic Sampling'

Author: Grafiati

Published: 8 September 2023

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Journal articles on the topic "Modified Systematic Sampling"

1

Leu, Ching-Ho, and Fei-Fei Kao. "Modified balanced circular systematic sampling." Statistics & Probability Letters 76, no. 4 (2006): 373–83. http://dx.doi.org/10.1016/j.spl.2005.08.005.

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2

Riaz, Saba, Giancarlo Diana, and Javid Shabbir. "Modified classes of estimators in circular systematic sampling." Hacettepe Journal of Mathematics and Statistics 45, no. 84 (2015): 1. http://dx.doi.org/10.15672/hjms.20158412762.

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3

Khan, Zaheen, and Javid Shabbir. "Modified Systematic Sampling in The Presence of Linear Trend." Hacettepe Journal of Mathematics and Statistics 44, no. 16 (2014): 1. http://dx.doi.org/10.15672/hjms.2014167467.

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4

Azeem, Muhammad. "A modified version of diagonal systematic sampling in the presence of linear trend." PLOS ONE 17, no. 3 (2022): e0265179. http://dx.doi.org/10.1371/journal.pone.0265179.

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Systematic sampling is one of the simplest and popular methods for selecting a random sample from a finite population. The diagonal systematic sampling scheme is a type of systematic sampling design which has gained the attention of researchers during the last two decades. In this paper, a modification to the conventional diagonal systematic sampling design is proposed for use in situations where population units follow a linear trend. It is found that the proposed strategy reduces the variance of the diagonal systematic sampling thus resulting in an efficient sampling design. The mathematical conditions under which the suggested modified diagonal systematic sampling design is more precise than some of the available sampling designs are derived. With the help of a numerical illustration using milk yield data, it is shown that the proposed sampling scheme is more efficient than some of the available sampling schemes.

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5

Naidoo, L. R., D. North, T. Zewotir, and R. Arnab. "Remainder modified systematic sampling in the presence of linear trend." Communications in Statistics - Theory and Methods 47, no. 10 (2018): 2469–81. http://dx.doi.org/10.1080/03610926.2017.1295076.

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6

Javaid, Amjad, Muhammad Noor-ul-Amin, and Muhammad Hanif. "Modified Ratio Estimator in Systematic Random Sampling Under Non-response." Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 89, no. 4 (2018): 817–25. http://dx.doi.org/10.1007/s40010-018-0509-3.

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7

Singh, Housila P., Rajesh Tailor, and Narendra Kumar Jatwa. "Modified Ratio and Product Estimators for Population Mean in Systematic Sampling." Journal of Modern Applied Statistical Methods 10, no. 2 (2011): 424–35. http://dx.doi.org/10.22237/jmasm/1320120180.

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8

Naidoo, L. R., D. North, T. Zewotir, and R. Arnab. "Multiple-start balanced modified systematic sampling in the presence of linear trend." Communications in Statistics - Theory and Methods 45, no. 14 (2016): 4307–24. http://dx.doi.org/10.1080/03610926.2015.1091080.

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9

Kim, Hyuk-Joo, and Byoung-Chul Choi. "Efficient Estimation of Population Mean Using Centered Modified Systematic Sampling and Interpolation." Communications for Statistical Applications and Methods 9, no. 1 (2002): 175–85. http://dx.doi.org/10.5351/ckss.2002.9.1.175.

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10

Hoogduin, Lucas A., Thomas W. Hall, and Jeffrey J. Tsay. "Modified Sieve Sampling: A Method for Single- and Multi-Stage Probability- Proportional-to-Size Sampling." AUDITING: A Journal of Practice & Theory 29, no. 1 (2010): 125–48. http://dx.doi.org/10.2308/aud.2010.29.1.125.

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Abstract:

SUMMARY: Widely used probability-proportional-to-size (PPS) selection methods are not well adapted to circumstances requiring sample augmentation. Limitations include: (1) an inability to augment selections while maintaining PPS properties, (2) a failure to recognize changes in census stratum membership which result from sample augmentation, and (3) imprecise control over line item sample size. This paper presents a new method of PPS selection, a modified version of sieve sampling which overcomes these limitations. Simulations indicate the new method effectively maintains sampling stratum PPS properties in single- and multi-stage samples, appropriately recognizes changes in census stratum membership which result from sample augmentation, and provides precise control over line item sample sizes. In single-stage applications the method provides reliable control of sampling risk over varied tainting levels and error bunching patterns. Tightness and efficiency measures are comparable to randomized systematic sampling and superior to sieve sampling.

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