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Journal articles on the topic 'Applied Statistics'

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Published: 4 June 2021
Last updated: 9 March 2023

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1

Orlov, A. I. "STATISTICAL SIMULATIONS METHOD IN APPLIED STATISTICS." Industrial laboratory. Diagnostics of materials 85, no. 5 (June 5, 2019): 67–79. http://dx.doi.org/10.26896/1028-6861-2019-85-5-67-79.

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The new paradigm of mathematical research methods is based on the effective application of information and communication technologies both in calculating the characteristics of the methods of data analysis and in simulation modeling. Pseudo-random number generators underlie many modern data analysis technologies. To solve specific applied problems, researchers permanently develop the new methods for processing statistical data, i.e., measurement results (observations, tests, analyzes, experiments) and expert estimations. The properties of each newly proposed method must be studied. The intellectual tools are limit theorems and method of statistical simulations (Monte-Carlo method). In 2016, our journal opened a discussion on the current state and prospects for the development of statistical modeling, i.e., the theory and practice of applicating the method of the statistical simulations (Monte-Carlo method), and various variants of the simulation. The previous discussion about the properties of such generators was conducted in our journal in 1985 - 1993. This article is devoted to application of the statistical simulations method to the study of the properties of statistical criteria for testing the homogeneity of two independent samples. We consider: the Kramer - Welch criterion, which coincides with Student's criterion when sample sizes are equal; the criteria of Lord, Wilcoxon (Mann - Whitney), Wolfowitz, Van der Waerden, Smirnov, со 2 (Lehmann - Rosenblatt). It is necessary to set the distribution functions of the elements of two samples. We use the normal and Weibull - Gnedenko distributions. It is shown advisable to use the Lehmann - Rosenblatt со 2 test when testing the hypothesis of coincidence of the distribution functions of two samples. If there is a reason to assume that the distributions differ mainly in the shift, then the Wilcoxon and Van der Waerden criteria can be used. However, even in this case, the со 2 test may be more powerful. In the general case, apart from the Lehmann - Rosenblatt criterion, the use of the Smirnov criterion is permissible, taking into account the difference between the real level of significance and the nominal one. The frequency of the discrepancies of statistical findings based on different criteria is studied.
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2

Martynov, G. V. "Probabilistic-statistical programs from ?applied statistics?" Journal of Soviet Mathematics 50, no. 3 (June 1990): 1643–84. http://dx.doi.org/10.1007/bf01096290.

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3

Berenson, M. L., D. M. Levine, and D. Rindskopf. "Applied Statistics." Biometrics 44, no. 4 (December 1988): 1209. http://dx.doi.org/10.2307/2531751.

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4

Fildes, Robert. "Applied Statistics." International Journal of Forecasting 10, no. 4 (December 1994): 650. http://dx.doi.org/10.1016/0169-2070(94)90040-x.

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5

Wozniak, Patricia J., and Wayne W. Daniel. "Applied Nonparametric Statistics." Technometrics 33, no. 3 (August 1991): 364. http://dx.doi.org/10.2307/1268795.

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6

Kemp, A. W., P. Griffiths, and I. D. Hill. "Applied Statistics Algorithms." Biometrics 41, no. 4 (December 1985): 1100. http://dx.doi.org/10.2307/2530987.

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7

Richter, Donald, and Fadil H. Zuwaylif. "Applied Business Statistics." Journal of Business & Economic Statistics 5, no. 1 (January 1987): 162. http://dx.doi.org/10.2307/1391231.

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8

Streitberg, B., and W. W. Daniel. "Applied Nonparametric Statistics." Biometrics 47, no. 4 (December 1991): 1634. http://dx.doi.org/10.2307/2532422.

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9

Meeker, William Q. "Applied Statistics Algorithms." Technometrics 28, no. 3 (August 1986): 278–79. http://dx.doi.org/10.1080/00401706.1986.10488139.

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10

Janky, Denis G. "Applied Engineering Statistics." Technometrics 36, no. 2 (May 1994): 221–22. http://dx.doi.org/10.1080/00401706.1994.10485776.

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11

Shanmugam, Ramalingam. "Applied Engineering Statistics." Journal of Quality Technology 27, no. 2 (April 1995): 173. http://dx.doi.org/10.1080/00224065.1995.11979582.

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12

Jeffers, JNR. "Applied statistics algorithms." Environmental Software 1, no. 1 (June 1986): 60–61. http://dx.doi.org/10.1016/0266-9838(86)90042-0.

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13

Paige, W. S., P. Griffiths, and I. D. Hill. "Applied Statistics Algorithms." Applied Statistics 35, no. 1 (1986): 79. http://dx.doi.org/10.2307/2347872.

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14

Meyer, Michael M., P. Griffiths, and I. D. Hill. "Applied Statistics Algorithms." Journal of the American Statistical Association 81, no. 395 (September 1986): 862. http://dx.doi.org/10.2307/2289031.

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15

Maclaren, N. M., P. Griffiths, and A. D. Hill. "Applied Statistics Algorithms." Journal of the Royal Statistical Society. Series A (General) 148, no. 4 (1985): 394. http://dx.doi.org/10.2307/2981910.

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16

Vesely, W. E. "Applied Engineering Statistics." Reliability Engineering & System Safety 39, no. 1 (January 1993): 116–17. http://dx.doi.org/10.1016/0951-8320(93)90156-s.

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17

Cooper, R. I., M. C. Fleming, and J. G. Nellis. "Principles of Applied Statistics." Journal of the Royal Statistical Society. Series A (Statistics in Society) 158, no. 2 (1995): 348. http://dx.doi.org/10.2307/2983306.

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18

Jones, P. W., John Neter, William Wasserman, and G. A. Whitmore. "Applied Statistics (3rd Edition)." Journal of the Operational Research Society 40, no. 1 (January 1989): 111. http://dx.doi.org/10.2307/2583087.

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19

Reyniers, Diane, and Simon Conrad. "Assignments in Applied Statistics." Journal of the Operational Research Society 42, no. 3 (March 1991): 261. http://dx.doi.org/10.2307/2583324.

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20

Derr, J. A., and R. R. Kinnison. "Applied Extreme Value Statistics." Biometrics 42, no. 2 (June 1986): 455. http://dx.doi.org/10.2307/2531072.

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21

Bentley, Donald L., and Simon Conrad. "Assignments in Applied Statistics." Journal of the American Statistical Association 86, no. 415 (September 1991): 835. http://dx.doi.org/10.2307/2290437.

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22

Conrad, S. "Assignments in Applied Statistics." Biometrics 46, no. 3 (September 1990): 886. http://dx.doi.org/10.2307/2532123.

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23

Jones, P. W. "Applied Statistics (3rd Edition)." Journal of the Operational Research Society 40, no. 1 (January 1989): 111. http://dx.doi.org/10.1057/jors.1989.15.

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24

Reyniers, Diane. "Assignments in Applied Statistics." Journal of the Operational Research Society 42, no. 3 (March 1991): 261. http://dx.doi.org/10.1057/jors.1991.57.

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25

Robert, Christian. "Principles of Applied Statistics." CHANCE 25, no. 3 (September 10, 2012): 58–59. http://dx.doi.org/10.1080/09332480.2012.726567.

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26

Rust, Steven W. "Applied Extreme Value Statistics." Technometrics 30, no. 1 (February 1988): 126. http://dx.doi.org/10.1080/00401706.1988.10488345.

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27

Ziegel, Eric R. "Assignments in Applied Statistics." Technometrics 33, no. 2 (May 1991): 249. http://dx.doi.org/10.1080/00401706.1991.10484832.

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28

Cox, D. R. "Applied statistics: A review." Annals of Applied Statistics 1, no. 1 (June 2007): 1–16. http://dx.doi.org/10.1214/07-aoas113.

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29

Springall, A., and S. Conrad. "Assignments in Applied Statistics." Applied Statistics 40, no. 2 (1991): 340. http://dx.doi.org/10.2307/2347599.

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30

Ziegel, Eric R., Aman Ullah, and David E. A. Giles. "Handbook of Applied Economic Statistics." Technometrics 42, no. 2 (May 2000): 223. http://dx.doi.org/10.2307/1271490.

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31

Lipovetsky, Stan, and Jong-Min Kim. "Machine Learning in Applied Statistics." Model Assisted Statistics and Applications 12, no. 3 (August 31, 2017): 193–94. http://dx.doi.org/10.3233/mas-170404.

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32

Arnold, Taylor. "Industrial Research in Applied Statistics." Notices of the American Mathematical Society 66, no. 04 (April 1, 2019): 1. http://dx.doi.org/10.1090/noti1855.

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33

Horsewood, Nick. "Teaching Applied Statistics Using Spreadsheets." Teaching Statistics 17, s1 (January 1996): 4–7. http://dx.doi.org/10.1111/j.1467-9639.1996.tb00850.x.

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34

Magnetti, Sandra. "Statistics Applied to Clinical Trials." Medicine & Science in Sports & Exercise 32, no. 10 (October 2000): 1812. http://dx.doi.org/10.1097/00005768-200010000-00028.

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35

Comanaru, Ruxandra-S. "Essential statistics for applied linguistics." International Journal of Bilingual Education and Bilingualism 17, no. 4 (July 9, 2013): 498–500. http://dx.doi.org/10.1080/13670050.2013.809910.

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36

Yamamoto, Hisashi, Jau-Chuan Ke, and Suk Joo Bae. "Applied Statistics and Reliability Analysis." Quality Technology & Quantitative Management 9, no. 3 (January 2012): 229–30. http://dx.doi.org/10.1080/16843703.2012.11673288.

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37

Watt, Terry L. "Applied Statistics: A First Course." Technometrics 32, no. 2 (May 1990): 224. http://dx.doi.org/10.1080/00401706.1990.10484643.

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38

Wozniak, Patricia J. "Applied Nonparametric Statistics (2nd ed.)." Technometrics 33, no. 3 (August 1991): 364–65. http://dx.doi.org/10.1080/00401706.1991.10484849.

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39

Stern, Hal S. "Neural Networks in Applied Statistics." Technometrics 38, no. 3 (August 1996): 205–14. http://dx.doi.org/10.1080/00401706.1996.10484497.

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40

Gunter, Bert. "Applied Statistics: Principles and Examples." Journal of Quality Technology 17, no. 1 (January 1985): 59–60. http://dx.doi.org/10.1080/00224065.1985.11978933.

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41

Pridmore, W. A., and Fadil H. Zuwaylit. "Applied Business Statistics. 2nd Edition." Applied Statistics 34, no. 2 (1985): 175. http://dx.doi.org/10.2307/2347374.

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42

Goodwin, Paul, M. L. Berenson, D. M. Levine, and D. Rindskopf. "Applied Statistics: A First Course." Applied Statistics 38, no. 3 (1989): 522. http://dx.doi.org/10.2307/2347740.

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43

Kemp, Freda. "Modern Applied Statistics with S,." Journal of the Royal Statistical Society: Series D (The Statistician) 52, no. 4 (December 2003): 704–5. http://dx.doi.org/10.1046/j.1467-9884.2003.t01-19-00383_22.x.

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44

Jolliffe, F. R., M. L. Berenson, D. M. Levine, and D. Rindskopf. "Applied Statistics: A First Course." Journal of the Royal Statistical Society. Series A (Statistics in Society) 152, no. 1 (1989): 116. http://dx.doi.org/10.2307/2982827.

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45

Fragkos, Konstantinos C. "Applied medical statistics using SAS." Journal of Applied Statistics 41, no. 8 (January 15, 2014): 1857–58. http://dx.doi.org/10.1080/02664763.2013.877650.

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46

Srivastava, Radhendushka. "Karl Pearson and “Applied” Statistics." Resonance 28, no. 2 (February 16, 2023): 183–89. http://dx.doi.org/10.1007/s12045-023-1542-3.

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47

Thomas, D. S. G. "Dune pattern statistics applied to the Kalahari Dune Desert, Southern Africa." Zeitschrift für Geomorphologie 30, no. 2 (July 9, 1986): 231–42. http://dx.doi.org/10.1127/zfg/30/1986/231.

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48

Käärik, Ene. "Compstat'98 — a bridge between statistical theory and computational applied statistics." Computational Statistics & Data Analysis 29, no. 1 (November 1998): 117. http://dx.doi.org/10.1016/s0167-9473(98)90181-5.

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49

Orlov, A. I. "Probabilistic and statistical data models: a basis of applied statistics methods." Industrial laboratory. Diagnostics of materials 86, no. 7 (July 18, 2020): 5–6. http://dx.doi.org/10.26896/1028-6861-2020-86-7-5-6.

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50

Snell, Joyce, D. C. Montgomery, and G. C. Runger. "Applied Statistics and Probability for Engineers." Journal of the Royal Statistical Society. Series A (Statistics in Society) 158, no. 2 (1995): 355. http://dx.doi.org/10.2307/2983314.

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