Relevant bibliographies by topics / Sampling Techniques

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sampling Techniques'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 September 2023

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Journal articles on the topic "Sampling Techniques"

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Hatfield, Marcus, and Sandor Lovas. "Conformational Sampling Techniques." Current Pharmaceutical Design 20, no. 20 (May 31, 2014): 3303–13. http://dx.doi.org/10.2174/13816128113199990603.

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Eisner, Joseph. "USING SAMPLING TECHNIQUES." Bottom Line 2, no. 4 (April 1989): 35–36. http://dx.doi.org/10.1108/eb025202.

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Kung, Ignatius T. M., and Kai Hung Fung. "Biopsy Sampling Techniques." Chest 95, no. 2 (February 1989): 484. http://dx.doi.org/10.1378/chest.95.2.484-a.

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Wang, Ko Pen. "Biopsy Sampling Techniques." Chest 95, no. 2 (February 1989): 484–85. http://dx.doi.org/10.1378/chest.95.2.484-b.

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Morganstein, David R. "Practical Sampling Techniques." Technometrics 41, no. 2 (May 1999): 175. http://dx.doi.org/10.1080/00401706.1999.10485648.

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Schmidt-Langhorst, Carsten, and Hans-Georg Weber. "Optical sampling techniques." Journal of Optical and Fiber Communications Reports 2, no. 1 (March 2005): 86–114. http://dx.doi.org/10.1007/s10297-005-0034-4.

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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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Dewoskin, Robert S., and John H. Haw. "Sampling Techniques for Data Audits." Journal of the American College of Toxicology 8, no. 2 (March 1989): 333–38. http://dx.doi.org/10.3109/10915818909019558.

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The data audit is a critical element in any quality assurance program and an area in which considerably more methods development is needed. To assist the QAU in organizing the requirements of the data audit for bioassay data and in developing a more rational and flexible sampling strategy, a decision tree has been designed. Surprisingly few QA auditors are aware of the many options available in performing a data audit. The general rule of thumb is the 10% audit, but other sampling plans may best represent the potential error rate of the whole data set. Presented here is a step-by-step approach to assist the quality assurance unit (QAU) in organizing the requirements of the data audit for bioassay data and in choosing the best available option. Steps in the development of a sampling plan include (1) defining, identifying, and characterizing data, (2) determining what constitutes an error and how errors are categorized, and, if possible, (3) specifying acceptable error rates.
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Baer, Daniel M., Cynthia S. Johns, and Lisa A. Wieber. "Glucose Testing: Comparing Sampling Techniques." Laboratory Medicine 26, no. 4 (April 1, 1995): 240–41. http://dx.doi.org/10.1093/labmed/26.4.240.

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Lawrence, J. C., and H. Ameen. "Swabs and other sampling techniques." Journal of Wound Care 7, no. 5 (May 2, 1998): 232–33. http://dx.doi.org/10.12968/jowc.1998.7.5.232.

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Dissertations / Theses on the topic "Sampling Techniques"

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Buljan, Matej. "Optimizing t-SNE using random sampling techniques." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88585.

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The main topic of this thesis concerns t-SNE, a dimensionality reduction technique that has gained much popularity for showing great capability of preserving well-separated clusters from a high-dimensional space. Our goal with this thesis is twofold. Firstly we give an introduction to the use of dimensionality reduction techniques in visualization and, following recent research, show that t-SNE in particular is successful at preserving well-separated clusters. Secondly, we perform a thorough series of experiments that give us the ability to draw conclusions about the quality of embeddings from running t-SNE on samples of data using different sampling techniques. We are comparing pure random sampling, random walk sampling and so-called hubness sampling on a dataset, attempting to find a sampling method that is consistently better at preserving local information than simple random sampling. Throughout our testing, a specific variant of random walk sampling distinguished itself as a better alternative to pure random sampling.
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Li, Ping. "Stable random projections and conditional random sampling, two sampling techniques for modern massive datasets /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Martin, Richard James. "Irregularly sampled signals : theories and techniques for analysis." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299693.

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Laan, Marten Derk van der. "Signal sampling techniques for data acquisition in process control." [S.l. : [Groningen] : s.n.] ; [University Library Groningen] [Host], 1995. http://irs.ub.rug.nl/ppn/138454876.

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Allen, M. M. "An investigation of sampling techniques within marine fisheries discards." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516947.

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Blakeley, Nicholas D. "Sampling strategies and reconstruction techniques for magnetic resonance imaging." Thesis, University of Canterbury. Electrical and Computer Engineering, 2003. http://hdl.handle.net/10092/7705.

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In magnetic resonance imaging (MRI), samples of the object's spectrum are measured in the spatial frequency domain (k-space). For a number of reasons there is a desire to reduce the time taken to gather measurements. The approach considered is to sample below the Nyquist density, using prior knowledge of the object's support in the spatial domain to enable full reconstruction. The two issues considered are where to position the samples (sampling strategies) and how to form an image (reconstruction techniques). Particular attention is given to a special case of irregular sampling, referred to as Cartesian sampling, in which the samples are located on a Cartesian grid but only constitute a subset of the full grid. A further special case is considered where the sampling scheme repeats periodically, referred to as periodic Cartesian sampling. These types of sampling schemes are applicable to 3-D Cartesian MRI, MRSI, and other modalities that measure a single point in 2-D k-space per echo. The case of general irregular sampling is also considered, which is applicable to spiral sampling, for example. A body of theory concerning Cartesian sampling is developed that has practical implications for how to approach the problem and provides intuition about its nature. It is demonstrated that periodic Cartesian sampling effectively decomposes the problem into a number of much smaller subproblems, which leads to the development of a reconstruction algorithm that exploits these computational advantages. An additional algorithm is developed to predict the regions that could be reconstructed from a particular sampling scheme and support; it can be used to evaluate candidate sampling schemes before measurements are obtained. A number of practical issues are also discussed using illustrative examples. Sample selection algorithms for both Cartesian and periodic Cartesian sampling are developed using heuristic metrics that are fast to compute. The result is a significant reduction in selection time at the expense of a slightly worse conditioned system. The reconstruction problem for a general irregular sampling scheme is also analysed and a reconstruction algorithm developed that trades off computation time for better image quality.
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Williams, Sarah L. "The study of conformational motions using enhanced sampling techniques." Thesis, University of Southampton, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439611.

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Steyn, HC, CME McCrindle, and Toit D. Du. "Veterinary extension on sampling techniques related to heartwater research." Journal of the South African Veterinary Association, 2010. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001206.

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ABSTRACT Heartwater, a tick-borne disease caused by Ehrlichia ruminantium, is considered to be a significant cause of mortality amongst domestic and wild ruminants in South Africa. The main vector is Amblyomma hebraeum and although previous epidemiological studies have outlined endemic areas based on mortalities, these have been limited by diagnostic methods which relied mainly on positive brain smears. The indirect fluorescent antibody test (IFA) has a low specificity for heartwater organisms as it cross-reacts with some other species. Since the advent of biotechnology and genomics, molecular epidemiology has evolved using the methodology of traditional epidemiology coupled with the new molecular techniques. A new quantitative real-time polymerase chain reaction (qPCR) test has been developed for rapid and accurate diagnosis of heartwater in the live animal. This method can also be used to survey populations of A. hebraeum ticks for heartwater. Sampling whole blood and ticks for this qPCR differs from routine serumsampling, which is used for many serological tests. Veterinary field staff, particularly animal health technicians, are involved in surveillance and monitoring of controlled and other diseases of animals in South Africa. However, it was found that the sampling of whole blood was not done correctly, probably because it is a new sampling technique specific for new technology, where the heartwater organism is much more labile than the serumantibodies required for other tests. This qPCR technique is highly sensitive and can diagnose heartwater in the living animal within 2 hours, in time to treat it. Poor sampling techniques that decrease the sensitivity of the test will, however, result in a false negative diagnosis. This paper describes the development of a skills training programme for para-veterinary field staff, to facilitate research into the molecular epidemiology of heartwater in ruminants and eliminate any sampling bias due to collection errors. Humane handling techniques were also included in the training, in line with the current focus on improved livestock welfare.
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Kamat, Niranjan Ganesh. "Sampling-based Techniques for Interactive Exploration of Large Datasets." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523552932728325.

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Wu, Qin. "Reliable techniques for survey with sensitive question." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1496.

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Books on the topic "Sampling Techniques"

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Sugden, R. A. Sampling techniques. London: University of London, 1994.

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Kumar, Som Ranjan, ed. Practical sampling techniques. 2nd ed. New York: M. Dekker, 1996.

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Corporation, Harrick Scientific, ed. Optical spectroscopy: Sampling techniques manual. Ossining, NY: Harrick Scientific Corp., 1987.

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Mandallaz, Daniel. Sampling techniques for forest inventories. Boca Raton, FL: Chapman and Hall/CRC Press, 2007.

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Mandallaz, Daniel. Sampling techniques for forest inventories. United States: Chapman & Hall US, 2008.

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Ardilly, Pascal. Les techniques de sondage. Paris: Technip, 1994.

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Aggarwal, Y. P. Better sampling: Concepts, techniques, and evaluation. New Delhi: Sterling Publishers Private, 1988.

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1956-, Borders Bruce E., ed. Sampling techniques for forest resource inventory. New York: Wiley, 1996.

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Canada Centre for Mineral and Energy Technology., MEND (Canada), and SENES Consultants Limited, eds. Handbook for waste rock sampling techniques. Ottawa, ON: CANMET, 1994.

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Royston, Greenwood, Mills G, and Vrana B, eds. Passive sampling techniques in environmental monitoring. Amsterdam: Elsevier, 2007.

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Book chapters on the topic "Sampling Techniques"

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Verma, J. P. "Sampling Techniques." In Statistics and Research Methods in Psychology with Excel, 291–332. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3429-0_8.

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Tsuchikawa, Satoru. "Sampling Techniques." In Near-Infrared Spectroscopy in Food Science and Technology, 133–43. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470047705.ch5.

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Amato, P., E. Brisebois, M. Draghi, C. Duchaine, J. Fröhlich-Nowoisky, J. A. Huffman, G. Mainelis, E. Robine, and M. Thibaudon. "Sampling Techniques." In Microbiology of Aerosols, 23–48. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119132318.ch1b.

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Vassiliev, Oleg N. "Sampling Techniques." In Monte Carlo Methods for Radiation Transport, 15–48. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44141-2_2.

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Narayan, Krishna Gopal, Dharmendra Kumar Sinha, and Dhirendra Kumar Singh. "Sampling Techniques." In Veterinary Public Health & Epidemiology, 111–23. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7800-5_12.

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Latpate, Raosaheb, Jayant Kshirsagar, Vinod Kumar Gupta, and Girish Chandra. "Resampling Techniques." In Advanced Sampling Methods, 113–24. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0622-9_9.

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Latpate, Raosaheb, Jayant Kshirsagar, Vinod Kumar Gupta, and Girish Chandra. "Randomized Response Techniques." In Advanced Sampling Methods, 99–111. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0622-9_8.

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Holland, K. T. "Microbiological Sampling Techniques." In Pharmacology of the Skin II, 77–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74054-1_10.

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Friedman, Frederick, and Michael L. Brodman. "Endometrial Sampling Techniques." In Clinical Perspectives in Obstetrics and Gynecology, 155–62. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9086-2_11.

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Pio, C. A. "General sampling techniques." In Handbook of Air Pollution Analysis, 1–93. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4083-3_1.

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Conference papers on the topic "Sampling Techniques"

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Riad, Sedki M. "Electrical Sampling Techniques." In Semiconductor Conferences, edited by Ravinder K. Jain. SPIE, 1988. http://dx.doi.org/10.1117/12.940967.

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Gao, Xiang, Eric Klumperink, and Bram Nauta. "Sub-sampling PLL techniques." In 2015 IEEE Custom Integrated Circuits Conference - CICC 2015. IEEE, 2015. http://dx.doi.org/10.1109/cicc.2015.7338420.

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Junsomboon, Nutthaporn, and Tanasanee Phienthrakul. "Combining Over-Sampling and Under-Sampling Techniques for Imbalance Dataset." In ICMLC 2017: 2017 the 9th International Conference on Machine Learning and Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3055635.3056643.

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Pellacini, Fabio. "Session details: Sampling." In SIGGRAPH07: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2007. http://dx.doi.org/10.1145/3259141.

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Saramaki, T. "Efficient Techniques for Image Re-Sampling." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1629842.

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Huber, Mark. "Exact sampling and approximate counting techniques." In the thirtieth annual ACM symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/276698.276709.

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Andrekson, Peter A. "High Resolution Optical Waveform Sampling Techniques." In 2007 Digest of the IEEE/LEOS Summer Topical Meetings. IEEE, 2007. http://dx.doi.org/10.1109/leosst.2007.4288420.

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Bogoni, Antonella, and Luca Potì. "Ultra-high speed sampling optical techniques." In Asia Pacific Optical Communications, edited by Ken-ichi Kitayama, Pierpaolo C. Ghiggino, Kim Roberts, and Yikai Su. SPIE, 2008. http://dx.doi.org/10.1117/12.807982.

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Stutzbach, Daniel, Reza Rejaie, Nick Duffield, Subhabrata Sen, and Walter Willinger. "Sampling Techniques for Large, Dynamic Graphs." In Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. IEEE, 2006. http://dx.doi.org/10.1109/infocom.2006.39.

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Kirk, David, and James Arvo. "Unbiased sampling techniques for image synthesis." In the 18th annual conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/122718.122735.

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Reports on the topic "Sampling Techniques"

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Zseby, T., M. Molina, N. Duffield, S. Niccolini, and F. Raspall. Sampling and Filtering Techniques for IP Packet Selection. RFC Editor, March 2009. http://dx.doi.org/10.17487/rfc5475.

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Schreuder, Hans T., Richard Ernst, and Hugo Ramirez-Maldonado. Statistical techniques for sampling and monitoring natural resources. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2004. http://dx.doi.org/10.2737/rmrs-gtr-126.

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Bowden, Josh M., Locke A. Karriker, Kenneth J. Stalder, and Anna K. Johnson. Scan Sampling Techniques for Behavioral Validation in Nursery Pigs. Ames (Iowa): Iowa State University, January 2008. http://dx.doi.org/10.31274/ans_air-180814-852.

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Bryan, Charles, Andrew Knight, Rebecca Schaller, Samuel Durbin, Brendan Nation, and Philip Jensen. Surface Sampling Techniques for the Canister Deposition Field Demonstration. Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1772680.

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Chu, Xuehao. Customized Sampling Plans: A Guide to Alternative Sampling Techniques for National Transit Database (NTD) Reporting. Tampa, FL: University of South Florida, May 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2003-03.

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Johnson, Anna K., and John J. McGlone. Validation of Scan Sampling Techniques for Lactating Sows Kept Outdoors. Ames (Iowa): Iowa State University, January 2008. http://dx.doi.org/10.31274/ans_air-180814-767.

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George, Grant, and Hawley. PR-015-13611-R01 Evaluation of Selected Sampling Techniques on Hydrocarbon-Wet Gas Streams. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2014. http://dx.doi.org/10.55274/r0010403.

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This project evaluated selected single-phase gas sampling methods as candidates for use in sampling hydrocarbon-wet gas streams and obtaining representative samples of only the gas phase, rather than samples of both the gas and liquid. Two spot sampling methods, the helium �pop� method and the floating piston cylinder method, were chosen for evaluation. To capture samples of only the gas phase required one or more arrangements for separating liquids from the sample stream. To this end, a coalescing filter and a vortex separator were chosen for testing with the two sampling methods. The various sampling approaches were tested using the Sampling Method Performance Verification Procedure of API MPMS Chapter 14.1, Appendix F, adapted as appropriate for use in hydrocarbon-wet gas streams. Preliminary tests at SwRI�s Metering Research Facility (MRF) were used to identify possible problems with the equipment and sampling procedures, so that the equipment and procedures could be corrected before the formal tests were conducted. The formal tests were performed at a field site carrying a hydrocarbon-wet gas stream from a shale formation. Results of the formal tests produced recommendations to improve the general ability of the chosen wet-gas sampling method to capture accurate samples of the gas phase, as well as recommended changes to the API Sampling Verification Procedure for testing wet-gas sampling methods.
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Susan Sorini, John Schabron, Joseph Rovani, and Mark Sanderson. Soil Samplers: New Techniques for Subsurface Sampling for Volatile Organic Compounds. Office of Scientific and Technical Information (OSTI), March 2009. http://dx.doi.org/10.2172/993082.

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Infanger, G. Decomposition and (importance) sampling techniques for multi-stage stochastic linear programs. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10128562.

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Johnson, Robert, Karen P. Smith, and John Quinn. The Application of Adaptive Sampling and Analysis Program (ASAP) Techniques to NORM Sites. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/14169.

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