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Journal articles on the topic 'Sampling'

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Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Dumas, Pascal, and Gilles Fontanini. "Sampling fauna in aquifers: a comparison of net-sampling and pumping." Fundamental and Applied Limnology 150, no. 4 (February 15, 2001): 661–76. http://dx.doi.org/10.1127/archiv-hydrobiol/150/2001/661.

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2

Guochang, Wu, Zhang Yadong, and Yang Xiaohui. "Sampling Theory: From Shannon Sampling Theorem to Compressing Sampling." Information Technology Journal 9, no. 6 (August 1, 2010): 1231–35. http://dx.doi.org/10.3923/itj.2010.1231.1235.

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3

TANAKA, Isamu, and Takashi AKIYAMA. "A Personal Sampling and an Area Sampling." Journal of UOEH 7, no. 2 (1985): 207–11. http://dx.doi.org/10.7888/juoeh.7.207.

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4

Pinto, J. Sousa, and R. F. Hoskins. "Sampling and Π-sampling expansions." Proceedings Mathematical Sciences 110, no. 4 (November 2000): 379–92. http://dx.doi.org/10.1007/bf02829533.

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5

Emerson, Robert Wall. "Convenience Sampling, Random Sampling, and Snowball Sampling: How Does Sampling Affect the Validity of Research?" Journal of Visual Impairment & Blindness 109, no. 2 (March 2015): 164–68. http://dx.doi.org/10.1177/0145482x1510900215.

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6

Egger, Joseph. "POP-analysis and sampling interval." Meteorologische Zeitschrift 10, no. 4 (October 15, 2001): 351–55. http://dx.doi.org/10.1127/0941-2948/2001/0010-0351.

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7

Sen, A. R., and Steven K. Thompson. "Sampling." Journal of the American Statistical Association 88, no. 424 (December 1993): 1471. http://dx.doi.org/10.2307/2291302.

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8

Cormack, R. M., and S. K. Thompson. "Sampling." Biometrics 49, no. 4 (December 1993): 1283. http://dx.doi.org/10.2307/2532279.

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9

Ziegel, Eric R. "Sampling." Technometrics 44, no. 4 (November 2002): 407. http://dx.doi.org/10.1198/tech.2002.s93.

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10

Campbell, Malcolm. "Sampling." African Journal of Midwifery and Women's Health 10, no. 1 (January 2, 2016): 9–13. http://dx.doi.org/10.12968/ajmw.2016.10.1.9.

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11

Hinojosa, Renee, Judith A. Heermann, and Mary Erickson Megel. "Sampling." Plastic Surgical Nursing 14, no. 1 (1994): 50. http://dx.doi.org/10.1097/00006527-199401410-00018.

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12

Heermann, Judith A., and Mary Erickson Megel. "Sampling." Plastic Surgical Nursing 14, no. 1 (1994): 50. http://dx.doi.org/10.1097/00006527-199403000-00014.

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13

Baker, Michael J. "Sampling." Marketing Review 3, no. 1 (September 1, 2002): 103–20. http://dx.doi.org/10.1362/146934702321477253.

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14

Opsomer, Jean D., and F. Jay Breidt. "sampling." Annals of Statistics 28, no. 4 (August 2000): 1026–53. http://dx.doi.org/10.1214/aos/1015956706.

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15

Ziegel, Eric R. "Sampling." Technometrics 35, no. 3 (August 1993): 324. http://dx.doi.org/10.1080/00401706.1993.10485330.

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16

Danzer, Klaus. "Sampling." TrAC Trends in Analytical Chemistry 12, no. 10 (November 1993): VI. http://dx.doi.org/10.1016/0165-9936(93)80009-9.

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17

Morris, Pamela, and S. K. Thompson. "Sampling." Statistician 43, no. 1 (1994): 221. http://dx.doi.org/10.2307/2348969.

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18

Skinner, C. J., and S. K. Thompson. "Sampling." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 3 (1993): 513. http://dx.doi.org/10.2307/2983089.

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19

Ruiz Espejo, Mariano. "Sampling." Journal of Applied Statistics 40, no. 4 (April 2013): 920–21. http://dx.doi.org/10.1080/02664763.2012.749048.

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20

van der Linden, W. E. "Sampling." Analytica Chimica Acta 276, no. 2 (April 1993): 469. http://dx.doi.org/10.1016/0003-2670(93)80418-k.

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21

Stone, Judy L. "Quadrat Sampling Simulation.Mark/Recapture Sampling Simulation." Quarterly Review of Biology 67, no. 2 (June 1992): 254. http://dx.doi.org/10.1086/417653.

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22

Al-Saleh*, Mohammad Fraiwen, and Gang Zheng. "Controlled sampling using ranked set sampling." Journal of Nonparametric Statistics 15, no. 4-5 (August 2003): 505–16. http://dx.doi.org/10.1080/10485250310001604640.

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23

Aramini, R., M. Brignone, and M. Piana. "The linear sampling method without sampling." Inverse Problems 22, no. 6 (October 27, 2006): 2237–54. http://dx.doi.org/10.1088/0266-5611/22/6/020.

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24

Baandrup, Ulrik. "Sampling, Sampling Errors and Specimen Preparation." Acta Cytologica 44, no. 6 (2000): 944–48. http://dx.doi.org/10.1159/000328614.

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25

Shanmugam, Ramalingam. "Theory of sampling and sampling practice." Journal of Statistical Computation and Simulation 90, no. 9 (June 13, 2019): 1733–34. http://dx.doi.org/10.1080/00949655.2019.1628903.

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26

Gilks, W. R., and P. Wild. "Adaptive Rejection Sampling for Gibbs Sampling." Applied Statistics 41, no. 2 (1992): 337. http://dx.doi.org/10.2307/2347565.

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27

Dubey, Prakash K., and Neeraj Kumar. "Gas Sampling Line Versus Sampling Port." Journal of Neurosurgical Anesthesiology 27, no. 4 (October 2015): 357. http://dx.doi.org/10.1097/ana.0000000000000174.

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28

Choi, Ho-Lim, and Jacob Hammer. "Periodic sampling: maximising the sampling period." International Journal of Control 93, no. 6 (August 3, 2018): 1303–16. http://dx.doi.org/10.1080/00207179.2018.1504234.

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29

Liu, Jun S. "Metropolized independent sampling with comparisons to rejection sampling and importance sampling." Statistics and Computing 6, no. 2 (June 1996): 113–19. http://dx.doi.org/10.1007/bf00162521.

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30

Chauhan, Mudit. "Evaluation of the Performance of Self-sampling Versus Clinician-collected Sampling for Cervical Cancer Screening." Journal of Advanced Research in Medical Science & Technology 10, no. 1&2 (July 22, 2023): 8–17. http://dx.doi.org/10.24321/2394.6539.202302.

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31

Niese, Zachary Adolph, and Mandy Hütter. "The malleability of sampling's impact on evaluation: Sampling goals moderate the evaluative impact of sampling a stimulus." Journal of Experimental Social Psychology 109 (November 2023): 104516. http://dx.doi.org/10.1016/j.jesp.2023.104516.

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32

Johnson, Norman L., Samuel Kotz, and Robert N. Rodriguez. "Statistical Effects of Imperfect Inspection Sampling: II. Double Sampling and Link Sampling." Journal of Quality Technology 18, no. 2 (April 1986): 116–38. http://dx.doi.org/10.1080/00224065.1986.11978996.

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33

Gelman, Andrew, and Xiao-Li Meng. "Simulating normalizing constants: from importance sampling to bridge sampling to path sampling." Statistical Science 13, no. 2 (May 1998): 163–85. http://dx.doi.org/10.1214/ss/1028905934.

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34

Sharma, SN. "Entomological Sampling Strategy, Sampling Tools and Analytical Techniques with regard to Vector-Borne Diseases: Indian Perspective." Journal of Communicable Diseases 54, no. 1 (March 31, 2022): 117–23. http://dx.doi.org/10.24321/0019.5138.202258.

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Entomological surveillance is an integral component of surveillance activities for any vector-borne disease. The vector surveillance in a given area shall depend on the laid down objective and keeping in view of the expected outcome. The sampling strategy for vector surveillance shall depend on routine entomological surveillance, outbreak situation and insecticide resistance monitoring. The selection of any sampling strategy and technique should always be kept in mind for its appropriate application depending on the target species. The sampling strategy shall imply that vector surveillance teams are supposed to select different options depending on the short or long term study at hand. The present ongoing operational vector sampling methods usually lack standardisation, quantitative comparisons across different situations in case of outbreak situations and one time measurements, and it makes it difficult to assess the real situation. The sampling strategy should always meet the requirement of the laid objectives to fulfil the desired outcome. The present document is an attempt to act as a guiding principle for use as appropriate sampling strategy for any vector-borne diseases in the country.

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35

Lei, Y., J. Shi, and T. Zhao. " Efficiency of adaptive cluster sampling and traditional sampling for coastal mangrove in Hainan of China." Journal of Forest Science 58, No. 9 (October 23, 2012): 381–90. http://dx.doi.org/10.17221/80/2011-jfs.

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Based on two species of Coastal Mangrove in Hainan of China, Sonneratia Apetala Buch-Ham and Sonneratia caseoli, we estimated the density of the two species to evaluate the efficiency of adaptive cluster sampling (ACS), simple random sampling (SRS) and traditional systematic sampling (SYS). Our initial experimental designs for ACS consisted of 5 unit areas, 6 initial sampling proportions, 4 initial sample sizes and 5 criterion values in 1,000 repetitions. From the aspect of factors influencing efficiency, we analysed the efficiency of ACS in various designs. We also compared the efficiencies of the three methods on the indexes of the relative error, the variance of density estimator and the relative sampling efficiencies. We found that ACS yielded smaller variance than the traditional sampling methods. ACS was a powerful sampling method when a population was spatially aggregated. We also determined the optimum unit area for the two species studied using the two estimators (HT and HH) of adaptive cluster sampling. They were 20 m<sup>2 </sup>(2 × 10 m), 15 m<sup>2 </sup>(3 × 5 m) for S. Apetala Buch-Ham and 25 m<sup>2 </sup>(5 × 5 m), 15 m<sup>2 </sup>(3 × 5 m) for S. caseolari, respectively.

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36

Gilks, W. R., N. G. Best, and K. K. C. Tan. "Adaptive Rejection Metropolis Sampling within Gibbs Sampling." Applied Statistics 44, no. 4 (1995): 455. http://dx.doi.org/10.2307/2986138.

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37

Bilonick, Richard A., and Francis F. Pitard. "Pierre Gy's Sampling Theory and Sampling Practice." Technometrics 34, no. 3 (August 1992): 363. http://dx.doi.org/10.2307/1270056.

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38

KK, Harold F. Dodge, and Harry G. Romig. "Sampling Inspection Tables: Single and Double Sampling." Journal of the American Statistical Association 93, no. 443 (September 1998): 1252. http://dx.doi.org/10.2307/2669907.

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39

Barabesi, Lucio, and Caterina Pisani. "Ranked Set Sampling for Replicated Sampling Designs." Biometrics 58, no. 3 (September 2002): 586–92. http://dx.doi.org/10.1111/j.0006-341x.2002.00586.x.

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40

Borges, Lisa, Alain F. Zuur, Emer Rogan, and Rick Officer. "Optimum sampling levels in discard sampling programs." Canadian Journal of Fisheries and Aquatic Sciences 61, no. 10 (October 1, 2004): 1918–28. http://dx.doi.org/10.1139/f04-138.

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This paper presents optimum sampling levels in discard sampling programs considering cost and precision objectives simultaneously and explores their dependence on both variables. The analysis is based on the Irish discard program: an onboard-observer voluntary sampling scheme aimed at estimating discard rates in trawl fisheries. Multistage analysis was performed to establish the precision levels achieved in the past, and a cost function was determined to estimate the financial cost of the program. Gear, fishing ground, targeted species, and International Council for the Exploration of the Sea (ICES) divisions were the main factors affecting discarding, together with random effects of the three nested groups considered: haul, trip, and vessel. Reductions in the present budget will imply only marginal decreases in precision, although changes in cost variables can have an impact on sampling levels. On the other hand, increasing the target precision by one-half will imply a considerable increase in sampling and associated cost, which will be difficult if not impossible to achieve. Finally, the analysis by fleet components suggests a marked increase in sampling levels, which emphasizes the importance of clearly stated discard sampling objectives.

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41

Etikan, Ilker. "Comparison of Convenience Sampling and Purposive Sampling." American Journal of Theoretical and Applied Statistics 5, no. 1 (2016): 1. http://dx.doi.org/10.11648/j.ajtas.20160501.11.

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42

Khan, Zaheen, Javid Shabbir, and Sat Gupta. "A New Sampling Design for Systematic Sampling." Communications in Statistics - Theory and Methods 42, no. 18 (September 17, 2013): 3359–70. http://dx.doi.org/10.1080/03610926.2011.628771.

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43

Juni, Mordechai Z., Todd M. Gureckis, and Laurence T. Maloney. "Information sampling behavior with explicit sampling costs." Decision 3, no. 3 (July 2016): 147–68. http://dx.doi.org/10.1037/dec0000045.

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44

Lin, Zhixiong, and Wilfred F. van Gunsteren. "Enhanced conformational sampling using enveloping distribution sampling." Journal of Chemical Physics 139, no. 14 (October 14, 2013): 144105. http://dx.doi.org/10.1063/1.4824391.

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45

Higson, Edward, Will Handley, Mike Hobson, and Anthony Lasenby. "Sampling Errors in Nested Sampling Parameter Estimation." Bayesian Analysis 13, no. 3 (September 2018): 873–96. http://dx.doi.org/10.1214/17-ba1075.

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46

Khabbazian, Mohammad, Bret Hanlon, Zoe Russek, and Karl Rohe. "Novel sampling design for respondent-driven sampling." Electronic Journal of Statistics 11, no. 2 (2017): 4769–812. http://dx.doi.org/10.1214/17-ejs1358.

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47

Zhang, Chao, and Pengwei Hao. "Generalised sampling theory with rational sampling factors." IET Signal Processing 9, no. 3 (May 2015): 235–47. http://dx.doi.org/10.1049/iet-spr.2014.0042.

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48

Ziegel, Eric R. "Pierre Gy's Sampling Theory and Sampling Practice." Technometrics 37, no. 1 (February 1995): 125–26. http://dx.doi.org/10.1080/00401706.1995.10485912.

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49

Tan, Zhiqiang. "Calibrated path sampling and stepwise bridge sampling." Journal of Statistical Planning and Inference 143, no. 4 (April 2013): 675–90. http://dx.doi.org/10.1016/j.jspi.2012.10.001.

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50

Moradi, Mohammad, Jennifer A. Brown, and Weilong Guo. "Adaptive Cluster Sampling in Two-stage Sampling." Australian & New Zealand Journal of Statistics 56, no. 4 (November 14, 2014): 347–57. http://dx.doi.org/10.1111/anzs.12094.

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