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Journal articles on the topic 'Multivariate data analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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1

Fischer, Hagen S. "Multivariate analysis of phenological data." Phytocoenologia 30, no. 3-4 (November 24, 2000): 477–89. http://dx.doi.org/10.1127/phyto/30/2000/477.

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2

Qu, Xianggui. "Multivariate Data Analysis." Technometrics 49, no. 1 (February 2007): 103–4. http://dx.doi.org/10.1198/tech.2007.s455.

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3

Ziegel, Eric. "Multivariate Data Analysis." Technometrics 30, no. 1 (February 1988): 130–31. http://dx.doi.org/10.1080/00401706.1988.10488353.

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4

Schuenemeyer, John H. "Multivariate Data Analysis." Technometrics 31, no. 3 (August 1989): 393. http://dx.doi.org/10.1080/00401706.1989.10488578.

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5

Flury, Bernhard, Fionn Murtagh, and Andre Heck. "Multivariate Data Analysis." Mathematics of Computation 50, no. 181 (January 1988): 352. http://dx.doi.org/10.2307/2007941.

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6

Critchley, Frank, F. Murtagh, and A. Heck. "Multivariate Data Analysis." Journal of the Royal Statistical Society. Series A (Statistics in Society) 151, no. 3 (1988): 563. http://dx.doi.org/10.2307/2983024.

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7

Wallbäcks, Lars. "Multivariate data analysis of multivariate populations." Chemometrics and Intelligent Laboratory Systems 86, no. 1 (March 2007): 10–16. http://dx.doi.org/10.1016/j.chemolab.2006.08.002.

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8

Naik, Dayanand N., Brian S. Everitt, and Graham Dunn. "Applied Multivariate Data Analysis." Technometrics 36, no. 2 (May 1994): 214. http://dx.doi.org/10.2307/1270233.

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9

Coates, Dave, Brian S. Everitt, and Graham Dunn. "Applied Multivariate Data Analysis." Journal of the Operational Research Society 45, no. 2 (February 1994): 237. http://dx.doi.org/10.2307/2584130.

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10

Williams, Calvin. "Applied Multivariate Data Analysis." American Statistician 56, no. 3 (August 2002): 248–49. http://dx.doi.org/10.1198/tas.2002.s4.

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11

Ziegel, Eric R. "Applied Multivariate Data Analysis." Technometrics 44, no. 4 (November 2002): 407. http://dx.doi.org/10.1198/tech.2002.s92.

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12

Coates, Dave. "Applied Multivariate Data Analysis." Journal of the Operational Research Society 45, no. 2 (February 1994): 237–38. http://dx.doi.org/10.1057/jors.1994.29.

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13

Gray, J. Brian. "Multivariate Exploratory Data Analysis." Technometrics 32, no. 3 (August 1990): 356–57. http://dx.doi.org/10.1080/00401706.1990.10484708.

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14

Naik, Dayanand N. "Applied Multivariate Data Analysis." Technometrics 36, no. 2 (May 1994): 213–14. http://dx.doi.org/10.1080/00401706.1994.10485768.

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15

Coad, D. S., B. S. Everitt, and G. Dunn. "Applied Multivariate Data Analysis." Statistician 42, no. 3 (1993): 325. http://dx.doi.org/10.2307/2348816.

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16

Osmond, Clive, B. S. Everitt, and G. Dunn. "Applied Multivariate Data Analysis." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 3 (1993): 502. http://dx.doi.org/10.2307/2983074.

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17

Pyke, S. "Applied Multivariate Data Analysis." Journal of Epidemiology & Community Health 46, no. 6 (December 1, 1992): 630. http://dx.doi.org/10.1136/jech.46.6.630-a.

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18

Edlund, Ulf, and Hans Grahn. "Multivariate data analysis of NMR data." Journal of Pharmaceutical and Biomedical Analysis 9, no. 8 (January 1991): 655–58. http://dx.doi.org/10.1016/0731-7085(91)80191-b.

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19

Arshad, I. A., F. Muhammad ., and A. Ghafoor . "Multivariate Analysis of Mash Data." Journal of Applied Sciences 5, no. 1 (December 15, 2004): 113–17. http://dx.doi.org/10.3923/jas.2005.113.117.

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20

de Leeuw, Jan, and Michel Jambu. "Exploratory and Multivariate Data Analysis." Journal of the American Statistical Association 88, no. 422 (June 1993): 696. http://dx.doi.org/10.2307/2290356.

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21

Lepš, Jan, and Petr Šmilauer. "Multivariate Analysis of Ecological Data." Bulletin of the Ecological Society of America 87, no. 3 (July 2006): 193. http://dx.doi.org/10.1890/0012-9623(2006)87[193:maoed]2.0.co;2.

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22

Kenyon, James R. "Analysis of Multivariate Survival Data." Technometrics 44, no. 1 (February 2002): 86–87. http://dx.doi.org/10.1198/tech.2002.s658.

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23

Yan, Jun. "Analysis of Multivariate Survival Data." Journal of the American Statistical Association 100, no. 469 (March 2005): 354–55. http://dx.doi.org/10.1198/jasa.2005.s10.

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24

Taylor, K. Wayne, and Neena L. Chappell. "Multivariate analysis of qualitative data*." Canadian Review of Sociology/Revue canadienne de sociologie 17, no. 2 (July 14, 2008): 93–108. http://dx.doi.org/10.1111/j.1755-618x.1980.tb00688.x.

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25

Tilling, Kate. "Analysis of Multivariate Survival Data." International Journal of Epidemiology 30, no. 4 (August 2001): 909–10. http://dx.doi.org/10.1093/ije/30.4.909.

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26

Naeser, Kristian, and Jesper Hjortdal. "Multivariate analysis of refractive data." Journal of Cataract & Refractive Surgery 27, no. 1 (January 2001): 129–42. http://dx.doi.org/10.1016/s0886-3350(00)00816-6.

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27

Notz, William I. "Exploratory and Multivariate Data Analysis." Technometrics 34, no. 4 (November 1992): 489–90. http://dx.doi.org/10.1080/00401706.1992.10484964.

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28

Booth, David E. "Analysis of Incomplete Multivariate Data." Technometrics 42, no. 2 (May 2000): 213–14. http://dx.doi.org/10.1080/00401706.2000.10486013.

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29

Schlittgen, Rainer. "Analysis of incomplete multivariate data." Computational Statistics & Data Analysis 30, no. 4 (June 1999): 478–79. http://dx.doi.org/10.1016/s0167-9473(99)90025-7.

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30

Dose, V. "Multivariate analysis of PECVD data." Applied Physics A Solids and Surfaces 56, no. 6 (June 1993): 471–77. http://dx.doi.org/10.1007/bf00331398.

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31

Mellinger, Michel. "Multivariate data analysis: Its methods." Chemometrics and Intelligent Laboratory Systems 2, no. 1-3 (August 1987): 29–36. http://dx.doi.org/10.1016/0169-7439(87)80083-7.

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32

Carter, E. M. "Multivariate Data Analysis: An Introduction." Journal of Quality Technology 17, no. 2 (April 1985): 118–19. http://dx.doi.org/10.1080/00224065.1985.11978948.

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33

Rutherford, G. S. W., J. F. Hair, R. E. Anderson, and R. L. Tatham. "Multivariate Data Analysis with Readings." Statistician 37, no. 4/5 (1988): 484. http://dx.doi.org/10.2307/2348783.

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34

Hoecker, Andreas, and Helge Voss. "Multivariate Data Analysis with TMVA." EPJ Web of Conferences 4 (2010): 02004. http://dx.doi.org/10.1051/epjconf/20100402004.

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35

Jolliffe, Ian T., and M. Jambu. "Exploratory and Multivariate Data Analysis." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 1 (1993): 131. http://dx.doi.org/10.2307/2982876.

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36

Jolliffe, I. T., J. F. Hair, R. E. Anderson, and R. L. Tatham. "Multivariate Data Analysis with Readings." Journal of the Royal Statistical Society. Series A (Statistics in Society) 151, no. 3 (1988): 558. http://dx.doi.org/10.2307/2983017.

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37

Albaigés, J. "Essentials of multivariate data analysis." International Journal of Environmental Analytical Chemistry 95, no. 3 (February 19, 2015): 271–76. http://dx.doi.org/10.1080/03067319.2015.1016017.

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38

Javadnejad, Farid, Javad EskandariShahraki, Sanaz Khoubani, Elham Kalantari, and Firouz Alinia. "Multivariate Analysis of Stream Sediment Geochemical Data for Gold Exploration in Delijan, Iran." International Journal of Research and Engineering 5, no. 2 (March 2018): 325–34. http://dx.doi.org/10.21276/ijre.2018.5.3.2.

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39

Wetherill, G. Barrie, and Paul J. Lewi. "Multivariate Data Analysis in Industrial Practice." Statistician 35, no. 1 (1986): 85. http://dx.doi.org/10.2307/2988307.

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40

Fox, Richard, and John P. Van de Geer. "Multivariate Analysis of Categorical Data: Theory." Journal of Marketing Research 32, no. 1 (February 1995): 111. http://dx.doi.org/10.2307/3152116.

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41

Verducci, Joseph S., H. Bozdogan, and A. K. Gupta. "Multivariate Statistical Modeling and Data Analysis." Journal of the American Statistical Association 84, no. 407 (September 1989): 847. http://dx.doi.org/10.2307/2289697.

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42

Sena, Any, Josiclêda Domiciano Galvíncio, Valeria Costa, Rodrigo Miranda, Maria do Socorro Araujo, and Magna Soelma. "Multivariate analysis of soil moisture data." Journal of Hyperspectral Remote Sensing 7, no. 7 (May 17, 2018): 432. http://dx.doi.org/10.29150/jhrs.v7.7.p432-438.

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Soil water content is an important variable in the understanding of hydrology in agricultural and environmental systems in a region. It is known that soil moisture is related to soil characteristics, porosity, depth, hydraulic conductivity, among others, that is, characteristics that define its typology. Studies related to soil moisture are still very precarious in Brazil. Recently, the Europe Space Agency has provided soil moisture data estimated worldwide with satellite data. This availability made possible the spatial and temporal assessment of soil magna.moura@embrapa.br moisture for different studies in the world, even though we did not know the accuracy of these data. Many studies have used multivariate analysis to find groups that have similar characteristics that can be analyzed and managed with the same actions. Therefore, this study sought to analyze the similarities and dissimilarities between soil types when considering the characteristics of soil moisture, precipitation, soil elevation and soil depth. After applying the statistical methods it was possible to perceive that the soil moisture does not depend strongly on the precipitation and to suggest caution in the analysis of the relations between the humidity factor and the others scored.

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43

Silén, J., H. Cottin, M. Hilchenbach, J. Kissel, H. Lehto, S. Siljeström, and K. Varmuza. "COSIMA data analysis using multivariate techniques." Geoscientific Instrumentation, Methods and Data Systems 4, no. 1 (February 27, 2015): 45–56. http://dx.doi.org/10.5194/gi-4-45-2015.

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Abstract. We describe how to use multivariate analysis of complex TOF-SIMS (time-of-flight secondary ion mass spectrometry) spectra by introducing the method of random projections. The technique allows us to do full clustering and classification of the measured mass spectra. In this paper we use the tool for classification purposes. The presentation describes calibration experiments of 19 minerals on Ag and Au substrates using positive mode ion spectra. The discrimination between individual minerals gives a cross-validation Cohen κ for classification of typically about 80%. We intend to use the method as a fast tool to deduce a qualitative similarity of measurements.

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44

Silén, J., H. Cottin, M. Hilchenbach, J. Kissel, H. Lehto, S. Siljeström, and K. Varmuza. "COSIMA data analysis using multivariate techniques." Geoscientific Instrumentation, Methods and Data Systems Discussions 4, no. 2 (August 15, 2014): 455–89. http://dx.doi.org/10.5194/gid-4-455-2014.

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Abstract. We describe how to use multivariate analysis of complex TOF-SIMS spectra introducing the method of random projections. The technique allows us to do full clustering and classification of the measured mass spectra. In this paper we use the tool for classification purposes. The presentation describes calibration experiments of 19 minerals on Ag and Au substrates using positive mode ion spectra. The discrimination between individual minerals gives a crossvalidation Cohen κ for classification of typically about 80%. We intend to use the method as a fast tool to deduce a qualitative similarity of measurements.

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45

Driver, Ron. "An Introduction to Multivariate Data Analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 169, no. 2 (March 2006): 387–89. http://dx.doi.org/10.1111/j.1467-985x.2006.00414_6.x.

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46

Liao, Tim Futing. "Analysis of Multivariate Social Science Data." Journal of the Royal Statistical Society: Series A (Statistics in Society) 173, no. 2 (April 2010): 462. http://dx.doi.org/10.1111/j.1467-985x.2009.00634_2.x.

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47

Nevalainen, Jaakko, Denis Larocque, Hannu Oja, and Ilkka Pörsti. "Nonparametric Analysis of Clustered Multivariate Data." Journal of the American Statistical Association 105, no. 490 (June 2010): 864–72. http://dx.doi.org/10.1198/jasa.2010.tm08545.

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48

Berge, Claude, Nicolas Froloff, Ravi Kiran Reddy Kalathur, Myriam Maumy, Olivier Poch, Wolfgang Raffelsberger, and Nicolas Wicker. "Multidimensional Fitting for Multivariate Data Analysis." Journal of Computational Biology 17, no. 5 (May 2010): 723–32. http://dx.doi.org/10.1089/cmb.2009.0126.

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49

Haiqun Lin and Theodore R. Holford. "Longitudinal analysis methods for multivariate data." Statistical Methods in Medical Research 16, no. 5 (October 2007): 383–85. http://dx.doi.org/10.1177/0962280206075312.

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50

Christodoulou, C., C. B. Reid, D. O'Flynn, M. Wilson, M. Veale, R. J. Cernik, P. Seller, and R. D. Speller. "Multivariate analysis of pixelated diffraction data." Journal of Instrumentation 6, no. 12 (December 9, 2011): C12027. http://dx.doi.org/10.1088/1748-0221/6/12/c12027.

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