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Books on the topic 'Sampling'

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Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Fox, Nicholas J. Sampling. [s.l.]: NHS Executive, Trent, 1998.

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2

Thompson, Steven K. Sampling. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118162934.

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3

Lawrimore, Kay, and Hari Rajagopalan. Sampling. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071910177.

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4

R, Krishnaiah Paruchuri, and Rao C. Radhakrishna 1920-, eds. Sampling. Amsterdam: North-Holland, 1988.

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5

Thompson, Steven K. Sampling. New York: Wiley, 1992.

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6

Pitard, Francis F. Theory of Sampling and Sampling Practice. Boca Raton, Florida, USA: Chapman and Hall/CRC, 2019.

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7

Patil, Ganapati P., Sharad D. Gore, and Charles Taillie. Composite Sampling. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-7628-4.

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8

Freeden, Willi, M. Zuhair Nashed, and Michael Schreiner. Spherical Sampling. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71458-5.

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9

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. Distance Sampling. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8.

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10

Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. Distance Sampling. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2.

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11

Lavallée, Pierre. Indirect Sampling. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-70782-2.

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12

Srinivasan, Rajan. Importance Sampling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-05052-1.

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13

Marvasti, Farokh, ed. Nonuniform Sampling. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1229-5.

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14

Thompson, Steven K. Adaptive sampling. New York: Wiley, 1996.

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15

Harkins, Paul. Digital Sampling. New York, NY : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9781351209960.

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16

Maestas, Bobby. Sampling basics. Newbury Park, CA: P.L. Alexander Pub., 1989.

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17

Maestas, Bobby. Sampling basics. Newbury Park, CA: Peter L. Alexander Publishing, 1992.

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18

Lê, Thanh. Sampling manual. Calverton, Md: Macro International, 1996.

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19

Jayachandran, Toke. Sampling intervals. Monterey, California: Naval Postgraduate School, 1987.

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20

American Institute of Certified Public Accountants. Audit sampling. New York, N.Y: American Institute of Certified Public Accountants, 2012.

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21

United States. Army. Corps of Engineers. and American Society of Civil Engineers., eds. Soil sampling. Reston, Va: ASCE Press, 2000.

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22

Gurao, Dr Rajendra G. Sampling Methods. Kanpur, India: Chandralok Prakashan, 2015.

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23

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

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24

Bansal, Archana. Survey Sampling. Oxford, UK: Alpha Science International Ltd., 2017.

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25

M, Amabile Teresa, Singer Jill, Chedd-Angier Production Company, Consortium for Mathematics and Its Applications (U.S.)., and Magic Lantern Communications, eds. Sampling and surveys [videorecording]: Sampling and sampling distribution. Oakville, Ont. :bMagic Lantern Communications Ltd, 1989.

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26

Lohr, Sharon L. Sampling. Taylor & Francis Group, 2021.

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27

Krishnaiah, P. R. Sampling. Elsevier Science & Technology Books, 1988.

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28

Lohr, Sharon L. Sampling. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429296284.

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29

Thompson, Steven K. Sampling. Wiley & Sons, Incorporated, John, 2012.

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30

Sampling. Elsevier, 1988. http://dx.doi.org/10.1016/s0169-7161(88)x0600-3.

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31

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Sampling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0004.

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Sampling is crucial to any ecological study. Chapter 4 “Sampling” aims at proving keys for a successful sampling campaign when using DNA metabarcoding. It first describes the origin, fate, and transport of environmental DNA in various environments, from freshwater streams to soils, and discusses the implication of the DNA cycle in the environment for answering ecological questions. The chapter presents guidelines to appropriately sample the target DNA population and maximize the representativeness of the retrieved ecological signal. Different sampling strategies at the level of the sampling area and sampling units are proposed for different environmental matrices and ecological questions. Sample storage methods maximizing the preservation of environmental DNA are also discussed.

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32

Thompson, Steven K. Sampling. Wiley & Sons, Incorporated, John, 2012.

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33

Sampling. Solihull: L.& A. Press, 1986.

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34

Sampling. 2nd ed. New York: Wiley, 2002.

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35

Sampling. 3rd ed. Hoboken, N.J: Wiley, 2012.

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36

Lohr, Sharon L. Sampling. Taylor & Francis Group, 2019.

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37

Thompson, Steven K. Sampling. Wiley & Sons, Incorporated, John, 2012.

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38

Sampling. Servet, 2019.

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39

Thompson, Steven K. Sampling. Wiley & Sons, Incorporated, John, 2012.

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40

Thompson, Steven K. Sampling. Wiley & Sons, Incorporated, John, 2012.

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41

Thompson, Steven K. Sampling. Wiley & Sons, Incorporated, John, 2012.

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42

Pitard, Francis R. Theory of Sampling and Sampling Practice. Taylor & Francis Group, 2019.

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43

Chaudhuri, Arijit. Survey Sampling. Taylor & Francis Group, 2018.

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44

DeFuria, Steve, and Joe Scacciaferro. Sampling Book. Leonard Corporation, Hal, 1988.

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45

Guy, Dan M. Audit Sampling. 5th ed. John Wiley and Sons (WIE), 2003.

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46

Hankin, David, Michael S. Mohr, and Kenneth B. Newman. Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.001.0001.

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We present a rigorous but understandable introduction to the field of sampling theory for ecologists and natural resource scientists. Sampling theory concerns itself with development of procedures for random selection of a subset of units, a sample, from a larger finite population, and with how to best use sample data to make scientifically and statistically sound inferences about the population as a whole. The inferences fall into two broad categories: (a) estimation of simple descriptive population parameters, such as means, totals, or proportions, for variables of interest, and (b) estimation of uncertainty associated with estimated parameter values. Although the targets of estimation are few and simple, estimates of means, totals, or proportions see important and often controversial uses in management of natural resources and in fundamental ecological research, but few ecologists or natural resource scientists have formal training in sampling theory. We emphasize the classical design-based approach to sampling in which variable values associated with units are regarded as fixed and uncertainty of estimation arises via various randomization strategies that may be used to select samples. In addition to covering standard topics such as simple random, systematic, cluster, unequal probability (stressing the generality of Horvitz–Thompson estimation), multi-stage, and multi-phase sampling, we also consider adaptive sampling, spatially balanced sampling, and sampling through time, three areas of special importance for ecologists and natural resource scientists. The text is directed to undergraduate seniors, graduate students, and practicing professionals. Problems emphasize application of the theory and R programming in ecological and natural resource settings.

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47

Bakker, Dik. Language Sampling. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199281251.013.0007.

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48

Laderman, David, and Laurel Westrup, eds. Sampling Media. Oxford University Press, 2014. http://dx.doi.org/10.1093/acprof:oso/9780199949311.001.0001.

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49

Laderman, David, and Laurel Westrup. Sampling media. 2014.

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50

Griffith, E. Grain sampling. 2nd ed. C.Y. O'Connor College of TAFE, 1997.

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