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1

Beverage, Joseph P. Comparison of flume and towing methods for verifying the calibration of a suspended-sediment sampler. [U.S. Dept. of the Interior, Geological Survey, 1986.

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2

Beverage, Joseph P. Comparison of flume and towing methods for verifying the calibration of a suspended-sediment sampler. [U.S. Dept. of the Interior, Geological Survey, 1986.

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3

Beverage, Joseph P. Comparison of flume and towing methods for verifying the calibration of a suspended-sediment sampler. [U.S. Dept. of the Interior, Geological Survey, 1986.

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4

Krouwer, Jan S. Method comparison and bias estimation using patient samples: Approved guidelines. 2nd ed. Clinical and Laboratory Standards Institute, 2010.

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5

Lenz, Bernard N. Comparison of aquatic macroinvertebrate samples collected using different field methods. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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6

Clark, Todd E. Can out-of-sample forecast comparisons help prevent overfitting? Research Division, Federal Reserve Bank of Kansas City, 2000.

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7

Srivastava, M. S. A comparison of bootrap method and edgeworth expansion in approximating the distribution of sample variance: One sample and two sample cases. University of Toronto, Dept. of Statistics, 1985.

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8

Mueller, Karl W. Comparison of electrofishing and scuba diving techniques to sample black bass. Warmwater Fish Enhancement Program, Washington Dept. of Fish and Wildlife, 2002.

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9

Antin, Jon, Kelly Stulce, Lisa Eichelberger, and Jon Hankey. Naturalistic Driving Study: Descriptive Comparison of the Study Sample with National Data. Transportation Research Board, 2015. http://dx.doi.org/10.17226/22196.

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10

Childers, Dallas. Field comparisons of six pressure-difference bedload samplers in high-energy flow. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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11

Canada, Atomic Energy of. Comparison of the Pore-Microcrack Structure of Shallow and Deep Samples of the Lac du Bonnet Granite. s.n, 1985.

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12

Grant, Clarence L. Comparison criteria for environmental chemical analyses of split samples sent to different laboratories: Corps of Engineers archived data. US Army Corps of Engineers, Cold Regions Research & Engineering Laboratory, 1996.

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13

Lin, Nancy Pei-ching. A new approach to sample size determination of replicated Latin square designs and analysis of multiple comparison procedures. Ching sheng wen wu kung ying kung ssu, 1985.

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14

Campbell, P. Comparison of two methods commonly used at the experimental lakes area for collecting chemistry samples from vertically stratified lakes. Central and Arctic Region, Dept. of Fisheries and Oceans, 1993.

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15

Frize, Kathleen. A comparison of serum myoglobin with CK-MB in serial samples on patients admitted to the coronory care unit. The Author], 1994.

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16

Becker, Carol J. Comparison of ground-water quality in samples from selected shallow and deep wells in the central Oklahoma aquifer, 2003-2005. U.S. Geological Survey, 2006.

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17

Jones, Ian S. The costs of apprentice training in a sample of British manufacturing establishments: Results of a pilot enquiry and comparisons with Germany. National Institute of Economic and Social Research, 1985.

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18

Willem W. S. Van Hees. A comparison of two estimates of standard error for a ratio-of-means estimator for a mapped-plot sample design in Southeast Alaska. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2002.

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19

Giacalone, Robert A. Analysis of the revised Army Career Transitions Survey (ACTS) and comparison with the Fall 1996 Sample Survey of Military Personnel (SSMP): Results and recommendations. U.S. Army Research Institute for the Behavioral and Social Sciences, 2000.

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20

Jakob, Tina. Prevalence and patterns of disease in early medieval populations: A comparison of skeletal samples of the 5th-8th centuries A.D. from Britain and southwestern Germany. John and Erica Hedges Ltd., 2009.

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21

Prevalence and patterns of disease in early medieval populations: A comparison of skeletal samples of the 5th-8th centuries A.D. from Britain and southwestern Germany. John and Erica Hedges Ltd., 2009.

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22

Kansakoulun ja peruskoulun kolmas- ja neljäsluokkalaisten kirjoitelmien vertailu =: A comparison of writing samples by third and fourth grade students from schools in the years 1946 and 1979. Turun Yliopisto, 1989.

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23

Janzer, Victor J. Results of the U.S. Geological Survey's second international interlaboratory analytical comparison study--standard reference water samples M-86 (major constituents), T-87 (trace constituents), and P-5 (precipitation snowmelt). U.S. Dept. of the Interior, Geological Survey, 1985.

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24

Janzer, Victor J. Results of the U.S. Geological Survey's second international interlaboratory analytical comparison study--standard reference water samples M-86 (major constituents), T-87 (trace constituents), and P-5 (precipitation snowmelt). U.S. Dept. of the Interior, Geological Survey, 1985.

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25

Janzer, Victor J. Results of the U.S. Geological Survey's second international interlaboratory analytical comparison study--standard reference water samples M-86 (major constituents), T-87 (trace constituents), and P-5 (precipitation snowmelt). U.S. Dept. of the Interior, Geological Survey, 1985.

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26

Janzer, Victor J. Results of the U.S. Geological Survey's second international interlaboratory analytical comparison study--standard reference water samples M-86 (major constituents), T-87 (trace constituents), and P-5 (precipitation snowmelt). U.S. Dept. of the Interior, Geological Survey, 1985.

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27

Janzer, Victor J. Results of the U.S. Geological Survey's second international interlaboratory analytical comparison study--standard reference water samples M-86 (major constituents), T-87 (trace constituents), and P-5 (precipitation snowmelt). U.S. Dept. of the Interior, Geological Survey, 1985.

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28

Janzer, Victor J. Results of the U.S. Geological Survey's second international interlaboratory analytical comparison study--standard reference water samples M-86 (major constituents), T-87 (trace constituents), and P-5 (precipitation snowmelt). U.S. Dept. of the Interior, Geological Survey, 1985.

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29

Dave, Schuett-Hames, and TFW Ambient Monitoring Program (Wash.), eds. Field comparison of the McNeil sampler with three shovel-based methods used to sample spawning substrate composition in small streams. Timber, Fish, & Wildlife, 1996.

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30

Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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31

Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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32

Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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33

Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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34

Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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35

Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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36

Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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37

Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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38

Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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39

Geological Survey (U.S.), ed. Comparison of water-quality samples collected by siphon samplers and automatic samplers in Wisconsin. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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40

A Comparison of Circular Error Probable Estimators for Small Samples. Storming Media, 1997.

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41

Siderits, Mark. Comparison or Confluence In Philosophy? Edited by Jonardon Ganeri. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199314621.013.5.

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This chapter examines the project of fusion or confluence philosophy: philosophizing that draws on resources from both Indian and Western philosophical traditions in seeking solutions to philosophical problems. A distinction is drawn between the confluence project and the project of comparative philosophy. Various challenges to the project are addressed, among them the criticism that the two traditions are incommensurable, and the charge that such a project is politically problematic. There is also discussion of some ways in which projects of this sort can go astray. Representative samples of
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42

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. DNA metabarcoding data analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0008.

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DNA metabarcoding generates huge amounts of data containing noise introduced by molecular methods. Chapter 8 “DNA metabarcoding data analysis” discusses the analytic steps and available software to curate and evaluate DNA metabarcoding data prior to final ecological analyses. It provides command lines to perform primary analyses of Illumina sequencing data with the OBITools, ranging from read assignment to samples to the formation of molecular operational taxonomic units (MOTUs) and their assignment to a taxon through comparison against reference databases. Chapter 8 also develops several meth
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43

European interlaboratory comparison of passive samplers for organic vapour monitoring in indoor air. Commission of the European Communities, 1986.

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44

L, Narasimhan R., International Institute for Population Sciences., and Program on Population (East-West Center)., eds. Comparison of fertility estimates from India's Sample Registration System and National Family Health Survey. International Institute for Population Sciences, 1997.

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45

Adu Boahen, Emmanuel, and Kwadwo Opoku. Gender wage gaps in Ghana: A comparison across different selection models. 10th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/944-0.

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The wage of an individual is observed only when he/she is employed. However, getting employment requires two decisions. First, an individual has to decide to participate in the labour market, and second, an employer must decide to hire that individual. Since female labour market participation often differs from that of men, and employers’ decisions to hire may also be influenced by gender, it is appropriate to account for this double selection process. This study uses the latest household survey in Ghana to estimate gender wage gaps by correcting for this double selection process. We find that
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46

Miles, Jeremy. General and generalised linear models. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0017.

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This chapter discusses general and generalised linear models (GLM and GLZ respectively). It outlines GLMs (mean, properties of GLMs and the mean), samples and populations, comparison of two groups of data, multiple regression and the GLM, analysis of variance (ANOVA) and the GLM, GLM in SPSS, and the GLZ).
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47

F, Tomb Thomas, Parobeck Paul S, and United States. Mine Safety and Health Administration, eds. Comparison of infrared absorbances for standard samples prepared from sieved and nonsieved quartz reference materials. U.S. Dept. of Labor, Mine Safety and Health Administration, 1994.

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48

National Committee for Clinical Laboratory Standards. User Comparison of Quantitative Clinical Laboratory Methods Using Patient Samples: Proposed Guideline, Vol 5, 1985. Natl Committee for, 1985.

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49

Lapierre, Laurent M., and Alicia D. McMullan. A Review of Methodological and Measurement Approaches to the Study of Work and Family. Edited by Tammy D. Allen and Lillian T. Eby. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199337538.013.4.

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This chapter provides a review of research methods reported in work–family (WF) articles published in peer-reviewed journals between 2004 and 2013. Methodological issues addressed include sampling (sampling methods, identification of target and source populations, response rate, and comparison of sample to source population), research designs (time horizon, laboratory vs. field setting, and level of control), data collection methods, levels of analysis, use of multiple data sources, triangulation, and the use of objective outcome measures. When possible, statistical comparisons were made betwe
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50

Robertson, Rob. Effects of collinearity, sample size, multiple correlation, and predictor-criterion correlation salience on the order of variable entry in stepwise regression. 1997.

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