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Journal articles on the topic 'Methods multivariate'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Chi, Yueh-Yun. "Multivariate methods." Wiley Interdisciplinary Reviews: Computational Statistics 4, no. 1 (2011): 35–47. http://dx.doi.org/10.1002/wics.185.

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2

Obuchowski, Nancy A. "Multivariate Statistical Methods." American Journal of Roentgenology 185, no. 2 (2005): 299–309. http://dx.doi.org/10.2214/ajr.185.2.01850299.

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3

Jackson, J. Edward. "Multivariate Statistical Methods." Technometrics 28, no. 1 (1986): 85–87. http://dx.doi.org/10.1080/00401706.1986.10488102.

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4

Wilson, William J. "Multivariate Statistical Methods." Technometrics 47, no. 3 (2005): 378. http://dx.doi.org/10.1198/tech.2005.s300.

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5

George, Laurence L. "Multivariate Statistical Methods." Journal of Quality Technology 23, no. 1 (1991): 75. http://dx.doi.org/10.1080/00224065.1991.11979292.

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6

Mickey, Ruth, and Alvin C. Rencher. "Methods of Multivariate Analysis." Journal of the American Statistical Association 93, no. 443 (1998): 1239. http://dx.doi.org/10.2307/2669873.

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7

Smith, Eric P. "Methods of multivariate analysis." Journal of Statistical Planning and Inference 59, no. 1 (1997): 183–84. http://dx.doi.org/10.1016/s0378-3758(96)00098-5.

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8

Everitt, Brian, and A. C. Rencher. "Methods of Multivariate Analysis." Statistician 45, no. 4 (1996): 535. http://dx.doi.org/10.2307/2988560.

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9

Mathew, Thomas. "Methods of Multivariate Analysis." Technometrics 38, no. 1 (1996): 76–77. http://dx.doi.org/10.1080/00401706.1996.10484420.

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10

Katsaounis, Tena Ipsilantis. "Methods of Multivariate Statistics." Technometrics 45, no. 1 (2003): 100–101. http://dx.doi.org/10.1198/tech.2003.s15.

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11

Flikkema, Robert, J. M. Lloris-Carsi, and Luis H. Toledo-Pereyra. "Multivariate Methods in Research." Journal of Investigative Surgery 25, no. 4 (2012): 203–8. http://dx.doi.org/10.3109/08941939.2012.701545.

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12

VON ROSEN, DIETRICH. "METHODS OF MULTIVARIATE ANALYSIS." Statistics in Medicine 15, no. 15 (1996): 1711–12. http://dx.doi.org/10.1002/(sici)1097-0258(19960815)15:15<1711::aid-sim321>3.0.co;2-m.

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13

Constantine, Greg. "Methods of Multivariate Analysis." Journal of Quality Technology 28, no. 2 (1996): 259–60. http://dx.doi.org/10.1080/00224065.1996.11979669.

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14

Lachenbruch, P. A., and B. F. J. Manly. "Multivariate Statistical Methods: A Primer." Biometrics 43, no. 4 (1987): 1026. http://dx.doi.org/10.2307/2531558.

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15

Chatterjee, Sangit, W. Dillon, and M. Goldstein. "Multivariate Analysis: Methods and Applications." Journal of Business & Economic Statistics 3, no. 4 (1985): 410. http://dx.doi.org/10.2307/1391734.

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16

Healy, M. J. R., G. N. van Vark, and W. W. Howells. "Multivariate Methods in Physical Anthropology." Biometrics 41, no. 1 (1985): 345. http://dx.doi.org/10.2307/2530677.

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17

Krzanowski, W. J., W. R. Dillon, and M. Goldstein. "Multivariate Analysis-Methods and Applications." Biometrics 42, no. 1 (1986): 222. http://dx.doi.org/10.2307/2531265.

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18

TANAKA, Yutaka. "SENSITIVITY ANALYSIS IN MULTIVARIATE METHODS." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 19, no. 1 (1992): 3–17. http://dx.doi.org/10.2333/jbhmk.19.3.

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19

Visuri, S., E. Ollila, V. Koivunen, J. Möttönen, and H. Oja. "Affine equivariant multivariate rank methods." Journal of Statistical Planning and Inference 114, no. 1-2 (2003): 161–85. http://dx.doi.org/10.1016/s0378-3758(02)00469-x.

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20

RAJ and Bryan F. J. Manly. "Multivariate Statistical Methods: A Primer." Journal of the American Statistical Association 91, no. 434 (1996): 915. http://dx.doi.org/10.2307/2291702.

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21

Hubert, Mia, Peter J. Rousseeuw, and Stefan Van Aelst. "High-Breakdown Robust Multivariate Methods." Statistical Science 23, no. 1 (2008): 92–119. http://dx.doi.org/10.1214/088342307000000087.

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22

Jackson, J. Edward. "Multivariate Analysis: Methods and Applications." Technometrics 28, no. 1 (1986): 85–87. http://dx.doi.org/10.1080/00401706.1986.10488103.

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23

Nemeth, Margaret A. "Multivariate Statistical Methods: A Primer." Technometrics 39, no. 4 (1997): 426–27. http://dx.doi.org/10.1080/00401706.1997.10485166.

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24

Robinette, Kathleen M. "Multivariate Methods in Engineering Anthropometry." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 10 (1998): 719–21. http://dx.doi.org/10.1177/154193129804201012.

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Engineers and scientists have known for at least 45 years that univariate descriptive statistics, particularly percentiles, are inappropriate for use in designs that involve more than one dimension. Yet, the non-existent 5th percentile woman, and 95th percentile man are commonly referred to in the literature today. Arguments against using percentiles are numerous and compelling. It has been demonstrated that: 1) they will not ensure the accommodation of the desired population, 2) they are not additive so they will result in strangely proportioned models, and 3) they result in designs that wast

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25

Wolter, M. "Multivariate analysis methods in physics." Physics of Particles and Nuclei 38, no. 2 (2007): 255–68. http://dx.doi.org/10.1134/s1063779607020050.

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26

Cooper, R. I., and B. F. J. Manly. "Multivariate Statistical Methods: A Primer." Journal of the Royal Statistical Society. Series A (General) 150, no. 4 (1987): 401. http://dx.doi.org/10.2307/2982053.

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27

Sutherland, Michael, Marvin J. Karson, K. V. Mardia, J. T. Kent, and J. M. Bibby. "Multivariate Statistical Methods: An Introduction." Journal of the American Statistical Association 80, no. 390 (1985): 488. http://dx.doi.org/10.2307/2287934.

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28

Thompson, Steven K., G. P. Patil, Laszlo Orloci, C. Radhakrishna Rao, and William M. Stiteler. "Multivariate Methods in Ecological Work." Journal of the American Statistical Association 80, no. 391 (1985): 789. http://dx.doi.org/10.2307/2288527.

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29

Carlson, James, William R. Dillon, and Matthew Goldstein. "Multivariate Analysis Methods and Applications." Journal of the American Statistical Association 81, no. 395 (1986): 863. http://dx.doi.org/10.2307/2289033.

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30

Gabrielsson, Jon, Nils-Olof Lindberg, and Torbj�rn Lundstedt. "Multivariate methods in pharmaceutical applications." Journal of Chemometrics 16, no. 3 (2002): 141–60. http://dx.doi.org/10.1002/cem.697.

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31

Cranley, R., William R. Dilon, and Matthew Goldstein. "Multivariate Analysis-Methods and Applications." Applied Statistics 34, no. 3 (1985): 290. http://dx.doi.org/10.2307/2347476.

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32

Boehm, Wolfgang. "Multivariate spline methods in CAGD." Computer-Aided Design 18, no. 2 (1986): 102–4. http://dx.doi.org/10.1016/0010-4485(86)90158-2.

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33

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

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34

Morris, John D., and J. D. Jobson. "Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods." Journal of the American Statistical Association 88, no. 424 (1993): 1472. http://dx.doi.org/10.2307/2291303.

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35

Kianifard, Farid. "Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods." Technometrics 35, no. 3 (1993): 326–27. http://dx.doi.org/10.1080/00401706.1993.10485332.

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36

Ray, W. D., and J. D. Jobson. "Applied Multivariate Darta Analysis: Vol. 2, Categorical and Multivariate Methods." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 3 (1993): 506. http://dx.doi.org/10.2307/2983080.

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37

SHARMA, SIDDHARTHA. "Use of Multivariate Analytical Methods in Assessment of River Water Quality." INTERNATIONAL JOURNAL OF EARTH SCIENCES AND ENGINEERING 10, no. 02 (2017): 383–87. http://dx.doi.org/10.21276/ijee.2017.10.0236.

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38

Kalina, Jan. "On Multivariate Methods in Robust Econometrics." Prague Economic Papers 21, no. 1 (2012): 69–82. http://dx.doi.org/10.18267/j.pep.411.

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39

Sims, Christopher A., and Tao Zha. "Bayesian Methods for Dynamic Multivariate Models." International Economic Review 39, no. 4 (1998): 949. http://dx.doi.org/10.2307/2527347.

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40

M. Mami, Ahmed, Maryam M. Mansour, and Abobaker M. Jaber. "On Using Multivariate Nonparametric Regression Methods." Scholars Journal of Physics, Mathematics and Statistics 07, no. 02 (2020): 11–29. http://dx.doi.org/10.36347/sjpms.2020.v07i02.001.

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41

Munzel, Ullrich, and Edgar Brunner. "Nonparametric methods in multivariate factorial designs." Journal of Statistical Planning and Inference 88, no. 1 (2000): 117–32. http://dx.doi.org/10.1016/s0378-3758(99)00212-8.

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42

Kovach, Warren L. "Multivariate Methods of Analyzing Paleoecological Data." Paleontological Society Special Publications 3 (1988): 72–104. http://dx.doi.org/10.1017/s2475262200004895.

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Multivariate analysis can be defined as an analysis in which many variables are examined simultaneously. These types of analyses are invaluable in many scientific fields in which patterns and trends in complex systems must be studied. Multivariate analysis is used in community ecology and paleoecology to summarize patterns of variation between and within different communities so as to allow the ecologist to describe the major patterns and interpret the cause of variation. Some examples of plant paleoecological studies which have used multivariate techniques are Oltz (1969, 1971), Clapham (1971

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43

Mudge, Stephen M. "Multivariate Statistical Methods in Environmental Forensics." Environmental Forensics 8, no. 1-2 (2007): 155–63. http://dx.doi.org/10.1080/15275920601180693.

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44

Fish, Larry J. "Why Multivariate Methods are Usually Vital." Measurement and Evaluation in Counseling and Development 21, no. 3 (1988): 130–37. http://dx.doi.org/10.1080/07481756.1988.12022895.

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45

Nemeth, Margaret A. "Applied Multivariate Methods for Data Analysis." Technometrics 42, no. 2 (2000): 211. http://dx.doi.org/10.1080/00401706.2000.10486010.

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46

Möttönen, Jyrki, and Hannu Oja. "Multivariate spatial sign and rank methods." Journal of Nonparametric Statistics 5, no. 2 (1995): 201–13. http://dx.doi.org/10.1080/10485259508832643.

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47

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

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48

Cai, Li, and Mark Hansen. "Improving Educational Assessment: Multivariate Statistical Methods." Policy Insights from the Behavioral and Brain Sciences 5, no. 1 (2017): 19–24. http://dx.doi.org/10.1177/2372732217747006.

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This review presents two case studies that illustrate how multivariate statistical modeling applies to the specific goal of improving educational assessment. The first case study involves the development of a new large-scale English language proficiency assessment system (called the English Language Proficiency Assessment for the 21st Century; ELPA21). The second application concerns efforts to quantify student progress in learning using conditional growth models, a topic of current debate about assessment policy. A popular measure, Student Growth Percentile (SGP), is explored through the lens

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49

Dochtermann, Ned A., and Stephen H. Jenkins. "Multivariate Methods and Small Sample Sizes." Ethology 117, no. 2 (2010): 95–101. http://dx.doi.org/10.1111/j.1439-0310.2010.01846.x.

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50

Stroud, T. W. F. "Methods of Multivariate Analysis.Alvin C. Rencher." Quarterly Review of Biology 70, no. 4 (1995): 549–51. http://dx.doi.org/10.1086/419262.

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