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1

Geological Survey (U.S.), ed. Field evaluation of the error arising from inadequate time averaging in the standard use of depth-integrating suspended-sediment samplers. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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2

Chesher, Andrew. Wefare measurement and measurement error. Bristol: University of Bristol, Department of Economics, 1999.

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3

Measurement error models. New York: Wiley, 1987.

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4

Fuller, Wayne A., ed. Measurement Error Models. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1987. http://dx.doi.org/10.1002/9780470316665.

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5

Hearn, Chase P. Q-circle measurement error. Hampton, Va: Langley Research Center, 1991.

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6

Chesher, Andrew. Measurement error bias reduction. Bristol: University of Bristol, Department of Economics, 1998.

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7

Carroll, Raymond J. Measurement error in nonlinear models. Boca Raton: Chapman & Hall/CRC, 1998.

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8

Carroll, R. J., D. Ruppert, and L. A. Stefanski. Measurement Error in Nonlinear Models. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-4477-1.

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9

Measurement error and research design. Thousand Oaks, CA: Sage Publications, 2004.

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10

W, Van Ness John, ed. Statistical regression with measurement error. London: Arnold, 1999.

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11

Zeng, Lingjia. Standard errors of linear equating for the single-group design. Iowa City, Iowa: American College Testing Programs, 1991.

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12

Chesher, Andrew. Polynomial regression with covariate measurement error. Bristol: University of Bristol, Department of Economics, 1998.

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13

Buonaccorsi, John P. Measurement error: Models, methods, and applications. Boca Raton: Chapman & Hall/CRC, 2010.

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14

1963-, Meijer Erik, ed. Measurement error and latent variables in econometrics. Amsterdam ; New York: Elsevier, 2000.

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15

Yi, Grace Y. Statistical Analysis with Measurement Error or Misclassification. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6640-0.

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16

Portela, Miguel. Measurement error in education and growth regressions. Bonn, Germany: IZA, 2004.

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17

Neuilly, Michèle. Modelling and estimation of measurement errors. Paris: Technique & Documentation, 1999.

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18

Peter, Gottschalk. Downward nominal wage flexibility: Real or measurement error? Bonn, Germany: IZA, 2004.

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19

Kolen, Michael J. Defining score scales in relation to measurement error. Iowa City, Iowa: Research Division, American College Testing Program, 1986.

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20

Coy, Joanne. The quantification of sampling error in coordinate measurement. [s.l.]: typescript, 1991.

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21

Brown, Philip J., and Wayne A. Fuller, eds. Statistical Analysis of Measurement Error Models and Applications. Providence, Rhode Island: American Mathematical Society, 1990. http://dx.doi.org/10.1090/conm/112.

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22

Tomlinson, George. Confounder measurement error and exposure odds ratio estimation. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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23

Field, Bruce F. NBS measurement services: Standard cell calibrations. Washington: National Bureau of Standards, 1987.

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24

Institution of Civil Engineers (Great Britain). Civil engineering standard method of measurement. 2nd ed. London: Thomas Telford for the Institution of Civil Engineers, 1985.

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25

Engineers, Institution Of Civil. Civil engineering standard method of measurement. 2nd ed. London: Thomas Telford for the Institution of Civil Engineers, 1985.

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26

Measurement uncertainties in science and technology. Berlin: Springer, 2004.

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27

Statistical analysis of measurement errors. New York: Wiley, 1985.

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28

Antman, Francisca. Earnings mobility and measurement error: A pseudo-panel approach. [Washington, D.C: World Bank, 2005.

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29

Srivastava, M. S. On Taguchi's on-line control procedures with measurement error. Toronto: University of Toronto, Dpt. of Statistics, 1991.

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30

Roberts, Christopher T. Measurement error in categorical clinical data analysis and interpretation. Manchester: University of Manchester, 1995.

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31

Birke, Hanna. Model-Based Recursive Partitioning with Adjustment for Measurement Error. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08505-6.

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32

Thomas, John E. Space acceleration measurement system triaxial sensor head error budget. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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33

Institution of Civil Engineers (Great Britain). CESMM3: Civil engineering standard method of measurement. 3rd ed. London: T. Telford, 1991.

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34

Dharmawan, I. Wayan Susi. Standard Operating Procedures (SOPs) for field measurement. Bogor: ITTO PD 519/08/Rev.1 (F) in cooperation with Forestry Research and Development Agency, Ministry of Forestry, Indonesia, 2013.

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35

Statistical evaluation of measurement errors: Design and analysis of reliability studies. 2nd ed. London: Arnold, 2004.

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36

Margins of error: A study of reliability in survey measurement. Hoboken, NJ: Wiley-Interscience, 2008.

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37

Dunn, G. Design and analysis of reliability studies: The statistical evaluation of measurement errors. New York: Oxford University Press, 1989.

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38

Goolsbee, Austan. The importance of measurement error in the cost of capital. Cambridge, MA: National Bureau of Economic Research, 2000.

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39

Windmiller, Mary Jo. Unique bit-error-rate measurement system for satellite communication systems. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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40

Windmiller, Mary Jo. Unique bit-error-rate measurement system for satellite communication systems. Cleveland, Ohio: Lewis Research Center, 1987.

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41

Windmiller, Mary Jo. Unique bit-error-rate measurement system for satellite communication systems. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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42

Iliff, Robert L. The AFGL absolute gravity system's error budget revisited. Hanscom AFB, MA: Earth Sciences Division, Air Force Geophysics Laboratory, 1985.

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43

Iliff, Robert L. The AFGL absolute gravity system's error budget revisited. Hanscom AFB, MA: Earth Sciences Division, Air Force Geophysics Laboratory, 1985.

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44

Iliff, Robert L. The AFGL absolute gravity system's error budget revisited. Hanscom AFB, MA: Earth Sciences Division, Air Force Geophysics Laboratory, 1985.

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45

Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.

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This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the ICC. The chapter determines the variance of a reliability estimate. It also calculates sample size estimates for reliability studies, and methods to combine reliability estimates in systematic reviews.
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46

Fuller, Wayne A. Measurement Error Models. Wiley-Interscience, 2006.

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47

Fuller, Wayne A. Measurement Error Models. Wiley & Sons, Incorporated, John, 2009.

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48

S, Bradshaw Edward, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Q-circle measurement error. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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49

S, Bradshaw Edward, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Q-circle measurement error. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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50

S, Bradshaw Edward, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Q-circle measurement error. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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