Journal articles on the topic 'Statistical techniques'

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1

J, Prathipa. "Stock Market Analytics: Statistical and Machine Learning Techniques." International Journal of Psychosocial Rehabilitation 24, no. 1 (January 20, 2020): 1828–33. http://dx.doi.org/10.37200/ijpr/v24i1/pr200284.

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2

Madnani, Bhavika. "Statistical Methods: Quantitative Techniques in Business and Industry." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 1099–105. http://dx.doi.org/10.31142/ijtsrd17041.

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3

Caridad, Daniel, Jana Hančlová, Hosn el Woujoud Bousselmi, and Lorena Caridad y López del Río. "Corporate rating forecasting using Artificial Intelligence statistical techniques." Investment Management and Financial Innovations 16, no. 2 (June 24, 2019): 295–312. http://dx.doi.org/10.21511/imfi.16(2).2019.25.

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Forecasting companies long-term financial health is provided by Credit Rating Agencies (CRA) such as S&P, Moody’s, Fitch and others. Estimates of rates are based on publicly available data, and on the so-called ‘qualitative information’. Nowadays, it is possible to produce quite precise forecasts for these ratings using economic and financial information that is available in financial databases, utilizing statistical models or, alternatively, Artificial Intelligence techniques. Several approaches, both cross section and dynamic are proposed, using different methods. Artificial Neural Networks (ANN) provide better results than multivariate statistical methods and are used to estimate ratings within all the range provided by the CRAs, obtaining more desegregated results than several proposed models available for intervals of ratings. Two large samples of companies ‘public data’ obtained from Bloomberg are used to obtain forecasts of S&P and Moody’s ratings directly from these data with high level of accuracy. This also permits to check the published rating’s reliability provided by different CRAs.
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4

Blais, Francis X., and Z. Ahmed Quraishi. "Appropriate statistical techniques urged." Journal of the American Osteopathic Association 85, no. 10 (October 1, 1985): 14. http://dx.doi.org/10.1515/jom-1985-851003.

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5

Williams, D. A., and Z. Govindarjulu. "Statistical Techniques in Bioassay." Biometrics 45, no. 3 (September 1989): 1035. http://dx.doi.org/10.2307/2531710.

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6

Nembhard, Harriet Black. "Applying Contemporary Statistical Techniques." Technometrics 46, no. 4 (November 2004): 490–91. http://dx.doi.org/10.1198/tech.2004.s233.

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7

Xie, M., and T. N. Goh. "Statistical techniques for quality." TQM Magazine 11, no. 4 (August 1999): 238–42. http://dx.doi.org/10.1108/09544789910272913.

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8

Zaret, David. "Statistical Techniques and Sociological Theory." Sociological Theory 5, no. 1 (1987): 36. http://dx.doi.org/10.2307/201993.

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9

Dovich, Robert A., and John Keenan Taylor. "Statistical Techniques for Data Analysis." Technometrics 35, no. 3 (August 1993): 332. http://dx.doi.org/10.2307/1269538.

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10

Griffith, Daniel A., Gareth Shaw, and Dennis Wheeler. "Statistical Techniques in Geographical Analysis." Technometrics 30, no. 3 (August 1988): 348. http://dx.doi.org/10.2307/1270091.

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11

Purcell, Patrick, and Simon Barty. "Statistical Techniques for Signal Generation." Drug Safety 25, no. 6 (2002): 415–21. http://dx.doi.org/10.2165/00002018-200225060-00005.

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12

Bokov, Vladimir B. "Mechanistic-statistical concurrent modelling techniques." International Journal of Technology Management 37, no. 1/2 (2007): 50. http://dx.doi.org/10.1504/ijtm.2007.011803.

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13

O'Neill, Julia C. "Statistical Techniques for Data Analysis." Technometrics 47, no. 3 (August 2005): 379. http://dx.doi.org/10.1198/tech.2005.s301.

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14

Walker, Noojin. "Weather Data and Statistical Techniques." School Science and Mathematics 93, no. 4 (April 1993): 188–90. http://dx.doi.org/10.1111/j.1949-8594.1993.tb12222.x.

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15

Hernon, Peter. "Descriptive statistical techniques for librarians." Journal of Academic Librarianship 24, no. 4 (July 1998): 332. http://dx.doi.org/10.1016/s0099-1333(98)90118-5.

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16

Grijfith, Daniel A. "Statistical Techniques in Geographical Analysis." Technometrics 30, no. 3 (August 1988): 348–49. http://dx.doi.org/10.1080/00401706.1988.10488410.

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17

Nelson, Lloyd S. "Statistical Techniques for Data Analysis." Journal of Quality Technology 24, no. 3 (July 1992): 168–69. http://dx.doi.org/10.1080/00224065.1992.11979392.

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18

McCracken, G. C. "Statistical significance comparing cricothyroidotomy techniques." Anaesthesia 74, no. 2 (January 17, 2019): 249–50. http://dx.doi.org/10.1111/anae.14551.

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19

Juzych, Mark S. "Statistical Techniques in Ophthalmic Journals." Archives of Ophthalmology 110, no. 9 (September 1, 1992): 1225. http://dx.doi.org/10.1001/archopht.1992.01080210043020.

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20

Powell, Ronald R. "Descriptive statistical techniques for librarians." Information Processing & Management 26, no. 4 (January 1990): 564–65. http://dx.doi.org/10.1016/0306-4573(90)90085-g.

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21

Devi, S. Sarojini, and Y. Radhika. "A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction." International Journal of Machine Learning and Computing 8, no. 2 (April 2018): 133–39. http://dx.doi.org/10.18178/ijmlc.2018.8.2.676.

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22

Lehaney, Brian, R. D. Mason, and D. A. Lind. "Statistical Techniques in Business and Economics." Journal of the Operational Research Society 42, no. 2 (February 1991): 187. http://dx.doi.org/10.2307/2583187.

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23

Majumdar, Jharna, and Lekshmi S. "SAR Image Segmentation using Statistical Techniques." International Journal of Computer Applications 20, no. 8 (April 30, 2011): 12–17. http://dx.doi.org/10.5120/2456-2841.

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24

Bellhouse, David R. "Statistical Techniques for Analyzing Astronomical Tables." Journal for the History of Astronomy 45, no. 4 (November 2014): 500–504. http://dx.doi.org/10.1177/0021828614552254.

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25

Nash, John C. "Statistical Shareware: Illustrations from Regression Techniques." American Statistician 46, no. 4 (November 1992): 311. http://dx.doi.org/10.2307/2685324.

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26

Efthimiadu, Irini, Ming T. Tham, Adam Adgar, and Chris S. Cox. "Integrating Statistical and Engineering Control Techniques." Measurement and Control 28, no. 3 (April 1995): 78–82. http://dx.doi.org/10.1177/002029409502800304.

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27

Marvier, Michelle A. "A Bridge to Advanced Statistical Techniques." Conservation Biology 18, no. 3 (June 2004): 854–55. http://dx.doi.org/10.1111/j.1523-1739.2004.1824_4.x.

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28

HORTON, H. BURKE. "SOME USES OF INTERINDUSTRY STATISTICAL TECHNIQUES." Journal of the American Society for Naval Engineers 65, no. 3 (March 18, 2009): 581–90. http://dx.doi.org/10.1111/j.1559-3584.1953.tb03057.x.

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29

Lu, Ming-Wei, and Richard J. Rudy. "Statistical techniques for vehicle crash testing." International Journal of Materials and Product Technology 20, no. 1/2/3 (2004): 91. http://dx.doi.org/10.1504/ijmpt.2004.003914.

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30

Emir, Oktay, Sinan Saracli, Ufuk Ramazan, and Savas Artuğer. "Modelling tourist loyalty via statistical techniques." Turizam 20, no. 2 (2016): 49–60. http://dx.doi.org/10.5937/turizam1602049e.

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31

Madge, B. "Statistical techniques screen out weak chips." Electronics Systems and Software 1, no. 6 (December 1, 2003): 38–42. http://dx.doi.org/10.1049/ess:20030606.

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32

Nash, John C. "Statistical Shareware: Illustrations from Regression Techniques." American Statistician 46, no. 4 (November 1992): 312–18. http://dx.doi.org/10.1080/00031305.1992.10475917.

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33

BOHORIS, G. A., and D. M. WALLEY. "Comparative Statistical Techniques in Maintenance Management." IMA Journal of Management Mathematics 3, no. 3 (1991): 241–48. http://dx.doi.org/10.1093/imaman/3.3.241.

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34

Schippers, Werner A. J. "Applicability of statistical process control techniques." International Journal of Production Economics 56-57 (September 1998): 525–35. http://dx.doi.org/10.1016/s0925-5273(98)00054-1.

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35

Montgomery, Douglas, J. Keats, John Fowler, George Runger, and Geetha Rajavelu. "Statistical Monitoring Techniques for Contamination Data." Journal of the IEST 40, no. 2 (March 31, 1997): 23–30. http://dx.doi.org/10.17764/jiet.2.40.2.u21m134u1623t668.

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Monitoring of particle contamination by statistically based methods is used extensively in semiconductor manufacturing. Often Shewhart-type control charts are used for this purpose. These charts suffer from some potential disadvantages in this application environment. Specifically, they are slow to detect shifts or changes in the level of particle contamination and, in some situations, the underlying statistical assumptions of the charts are inappropriate for contamination data. We suggest the use of cumulative sum and exponentially weighted moving average control charts for monitoring particle contamination. The advantages of these charts for the types of particle contamination data typically encountered in semiconductor manufacturing are discussed and illustrated with examples.
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36

M, Reshma. "Statistical Restoration Techniques on Melanoma Images." HELIX 8, no. 6 (December 31, 2018): 4610–15. http://dx.doi.org/10.29042/2018-4610-4615.

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37

van Domburg, Ron T., Isabella Kardys, Matti Lenzen, Sara Baart, Eric Boersma, and Sanne E. Hoeks. "Tools and Techniques - Statistical: It’s statistically significant, but is it clinically relevant?" EuroIntervention 10, no. 11 (March 2015): 1368–69. http://dx.doi.org/10.4244/eijv10i11a235.

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38

Priyadarshini, E., G. Raj Gayathri, Samuel E. Chakravarthy, M. Vidhya, and W. Abitha Memala. "Analysis of heart disease using statistical techniques." Journal of Physics: Conference Series 1770, no. 1 (March 1, 2021): 012105. http://dx.doi.org/10.1088/1742-6596/1770/1/012105.

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39

Meena Rangi, Meena Rangi. "Distinguishing Cognitive Tasks Using Statistical Analysis Techniques." IOSR Journal of Computer Engineering 11, no. 5 (2013): 21–24. http://dx.doi.org/10.9790/0661-1152124.

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40

Vakaskar, Aditya, and Uday Joshi. "Comparative Study of Statistical Predictive Analytic Techniques." IOSR Journal of Computer Engineering 16, no. 4 (2014): 56–64. http://dx.doi.org/10.9790/0661-16445664.

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41

N.S, Bindu, and H. S. Sheshadri. "Statistical Review of Various Object Detection Techniques." International Journal of Science and Engineering Applications 5, no. 6 (August 3, 2016): 321–24. http://dx.doi.org/10.7753/ijsea0506.1005.

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42

Tomy, Lishamol, Christophe Chesneau, and Amritha Madhav. "Statistical Techniques for Environmental Sciences: A Review." Mathematical and Computational Applications 26, no. 4 (November 4, 2021): 74. http://dx.doi.org/10.3390/mca26040074.

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This paper reviews the interdisciplinary collaboration between Environmental Sciences and Statistics. The usage of statistical methods as a problem-solving tool for handling environmental problems is the key element of this approach. This paper enhances a clear pavement for environmental scientists as well as quantitative researchers for their further collaborative learning with an analytical base.
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43

Bakhtadze, N. N., K. R. Chernyshov, and V. A. Lototsky. "Formalization and Extension of Statistical Linearization Techniques." IFAC Proceedings Volumes 44, no. 1 (January 2011): 4220–25. http://dx.doi.org/10.3182/20110828-6-it-1002.00244.

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44

Chatterjee, Samprit, K. W. Stringer, and T. R. Stewart. "Statistical Techniques for Analytical Review in Auditing." Journal of Business & Economic Statistics 4, no. 4 (October 1986): 491. http://dx.doi.org/10.2307/1391504.

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45

Amin Seyyedi, Seyyed, and Nick Ivanov. "Statistical Image Classification for Image Steganographic Techniques." International Journal of Image, Graphics and Signal Processing 6, no. 8 (July 8, 2014): 19–24. http://dx.doi.org/10.5815/ijigsp.2014.08.03.

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46

Ismail, Saad M., Siti Norul Huda Sheikh Abdullah, and Fariza Fauzi. "Statistical Binarization Techniques for Document Image Analysis." Journal of Computer Science 14, no. 1 (January 1, 2018): 23–36. http://dx.doi.org/10.3844/jcssp.2018.23.36.

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47

Dallal, Gerard E. "ODDJOB: A Collection of Miscellaneous Statistical Techniques." American Statistician 43, no. 4 (November 1989): 270. http://dx.doi.org/10.2307/2685377.

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48

Shenkman, A. L. "Energy loss computation by using statistical techniques." IEEE Transactions on Power Delivery 5, no. 1 (1990): 254–58. http://dx.doi.org/10.1109/61.107281.

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49

Creak, G. Alan. "Comments on some statistical techniques observed inAACpapers." Augmentative and Alternative Communication 12, no. 3 (January 1996): 189–92. http://dx.doi.org/10.1080/07434619612331277638.

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50

Bradfield, J. W. "Measurement techniques for melanoma: a statistical comparison." Journal of Clinical Pathology 44, no. 7 (July 1, 1991): 614. http://dx.doi.org/10.1136/jcp.44.7.614-b.

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