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Journal articles on the topic 'Statistical'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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1

Vinciotti, Veronica, and Ernst C. Wit. "Statistica Neerlandica special issue on Statistical Network Science." Statistica Neerlandica 74, no. 3 (July 15, 2020): 220–21. http://dx.doi.org/10.1111/stan.12212.

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2

LAMB, CHRISTOPHER R. "STATISTICAL BRIEFING: STATISTICAL POWER." Veterinary Radiology & Ultrasound 50, no. 3 (May 2009): 336. http://dx.doi.org/10.1111/j.1740-8261.2009.01546.x.

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3

Nuray, Fatih. "Lacunary weak statistical convergence." Mathematica Bohemica 136, no. 3 (2011): 259–68. http://dx.doi.org/10.21136/mb.2011.141648.

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4

Çakan, Celal, and Bilal Altay. "Statistically boundedness and statistical core of double sequences." Journal of Mathematical Analysis and Applications 317, no. 2 (May 2006): 690–97. http://dx.doi.org/10.1016/j.jmaa.2005.06.006.

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5

International Monetary Fund. "Algeria: Statistical Appendix: Statistical Appendix." IMF Staff Country Reports 13, no. 49 (2013): 1. http://dx.doi.org/10.5089/9781475535648.002.

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6

Hahn, Gerald J., Necip Doganaksoy, and William Q. Meeker. "Statistical intervals, not statistical significance." Significance 16, no. 4 (July 24, 2019): 20–22. http://dx.doi.org/10.1111/j.1740-9713.2019.01298.x.

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7

Lê, Hông Vân. "Statistical manifolds are statistical models." Journal of Geometry 84, no. 1-2 (March 2006): 83–93. http://dx.doi.org/10.1007/s00022-005-0030-0.

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8

Iwasaki, Atsushi, Yoshinobu Shimamura, and Akira Todoroki. "OS17-3-6 Optimization of the statistical model for the statistical damage diagnostic method." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _OS17–3–6——_OS17–3–6—. http://dx.doi.org/10.1299/jsmeatem.2007.6._os17-3-6-.

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9

Lasota, Andrzej, and James A. Yorke. "Statistical periodicity of deterministic systems." Časopis pro pěstování matematiky 111, no. 1 (1986): 1–13. http://dx.doi.org/10.21136/cpm.1986.118256.

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10

Kaur, Baljinder, and Neena Garg. "Statistical Optimization Of Ferulic Acid." Indian Journal of Applied Research 1, no. 4 (October 1, 2011): 1–6. http://dx.doi.org/10.15373/2249555x/jan2012/1.

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11

HRYTSUN, Viktoriia. "STATISTICAL SECURITY OF ECONOMIC MANAGEMENT." Herald of Khmelnytskyi National University. Economic sciences 318, no. 3 (May 25, 2023): 180–85. http://dx.doi.org/10.31891/2307-5740-2023-318-3-28.

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Modern integrated economic statistics is a set of economic and statistical data that reflect a consistent and holistic picture of economic activity for political, commercial and other analytical purposes. In analyzing the historical aspect of the emergence and development of statistical practice, we have shown that its origin occurred around the time when the state emerged. There is information about the elementary recount (census) of population and land, which was conducted several millennia ago. With the formation of a centralized state and especially with its development, the scope of statistics has expanded significantly. It is established that the statistical support of effective development of enterprises of Ukraine in the scale of a particular industry can be realized according to official statistics, namely: statistical observations of the volume of sold industrial products and operating costs of sold products. It is emphasized that today the volume and structure of data presented on the official website of statistics of Ukraine, is considered insufficient for full information support of management processes of industrial enterprises. The approaches of scholars to the interpretation of the role of statistical methods of analysis for successful economic management are considered. The basic mathematical and statistical methods are listed and their short characteristic is given. It is established that the profitability indicator is chosen as a general indicator of efficiency and technological level of enterprises of the studied industries. Construction of the economic and mathematical model of profitability of products of separate industries made it possible to reveal production reserves to increase the efficiency of the enterprises. For mechanical engineering it means reducing the capital intensity of products used funds (depreciation). For metallurgy it means a reduction in material and labor intensity of products. For the production of chemical products it is reducing material consumption. When choosing statistical methods for studying socio-economic phenomena, it is necessary to take into account their interconnectedness and interdependence. Based on the results, the priority for the development of management decisions for the effective development of processing enterprises should be to increase the degree of processing of raw materials (to increase the technological level of production), increase productivity of fixed assets and increase final consumption.

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12

Mucha, Boris, Patrícia Brestovanská, and Tomáš Peráček. "Audit Sampling – statistical vs. non-statistical?" Journal of Eastern Europe Research in Business and Economics 2018 (November 28, 2018): 1–10. http://dx.doi.org/10.5171/2018.136905.

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13

Berry, Geoffrey. "Statistical guide‐lines and statistical guidance." Medical Journal of Australia 146, no. 8 (April 1987): 408–9. http://dx.doi.org/10.5694/j.1326-5377.1987.tb120330.x.

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14

Garreau, G. A., Myles Holland, and Frank Proschan. "The Statistical Exorcist: Dispelling Statistical Anxiety." Mathematical Gazette 70, no. 452 (June 1986): 160. http://dx.doi.org/10.2307/3615795.

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15

Taplin, Ross H. "Teaching Statistical Consulting Before Statistical Methodology." Australian New Zealand Journal of Statistics 45, no. 2 (June 2003): 141–52. http://dx.doi.org/10.1111/1467-842x.00270.

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16

Guo, Guangbao. "Parallel Statistical Computing for Statistical Inference." Journal of Statistical Theory and Practice 6, no. 3 (September 2012): 536–65. http://dx.doi.org/10.1080/15598608.2012.695705.

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17

Mascha, Edward J., and Thomas R. Vetter. "The Statistical Checklist and Statistical Review." Anesthesia & Analgesia 124, no. 3 (March 2017): 719–21. http://dx.doi.org/10.1213/ane.0000000000001863.

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18

Lubinsky, David J. "Integrating statistical theory with statistical databases." Annals of Mathematics and Artificial Intelligence 2, no. 1-4 (March 1990): 245–59. http://dx.doi.org/10.1007/bf01531010.

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19

HU, DIHE. "I.I.D. STATISTICAL CONTRACTION OPERATORS AND STATISTICALLY SELF-SIMILAR SETS." Chinese Annals of Mathematics 23, no. 04 (October 2002): 461–68. http://dx.doi.org/10.1142/s0252959902000420.

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20

Htoon, Hla Myint, Yiong Huak Chan, and John Carson Allen. "Behind Every Familiar Statistical Test is a Famous Statistician." Proceedings of Singapore Healthcare 21, no. 3 (September 2012): 217–19. http://dx.doi.org/10.1177/201010581202100312.

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21

Hinchuk, L. I. "The Factors of Quality of Statistical Information Which is Formed by the State Statistics of Ukraine about Administrative Offenses." Business Inform 6, no. 497 (2019): 95–99. http://dx.doi.org/10.32983/2222-4459-2019-6-95-99.

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22

Ghosh, Sakti P. "Statistical relational tables for statistical database management." IEEE Transactions on Software Engineering SE-12, no. 12 (December 1986): 1106–16. http://dx.doi.org/10.1109/tse.1986.6313006.

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23

Ware, J. H. "Statistical practice and statistical education in cardiology." Circulation 75, no. 2 (February 1987): 307–10. http://dx.doi.org/10.1161/01.cir.75.2.307.

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24

Gigerenzer, Gerd. "We need statistical thinking, not statistical rituals." Behavioral and Brain Sciences 21, no. 2 (April 1998): 199–200. http://dx.doi.org/10.1017/s0140525x98281167.

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What Chow calls NHSTP is an inconsistent hybrid of Fisherian and Neyman-Pearsonian ideas. In psychology it has been practiced like ritualistic handwashing and sustained by wishful thinking about its utility. Chow argues that NHSTP is an important tool for ruling out chance as an explanation for data. I disagree. This ritual discourages theory development by providing researchers with no incentive to specify hypotheses.

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25

Poitevineau, Jacques, and Bruno Lecoutre. "Some statistical misconceptions in Chow's Statistical significance." Behavioral and Brain Sciences 21, no. 2 (April 1998): 215. http://dx.doi.org/10.1017/s0140525x98441165.

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Chow's book makes a provocative contribution to the debate on the role of statistical significance, but it involves some important misconceptions in the presentation of the Fisher and Neyman/Pearson's theories. Moreover, the author's caricature-like considerations about “Bayesianism” are completely irrelevant for discarding the Bayesian statistical theory. These facts call into question the objectivity of his contribution.

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26

Vosvrda, Miloslav S. "Statistical data analysis by dialogue statistical systems." Computational Statistics & Data Analysis 6, no. 2 (March 1988): 113–17. http://dx.doi.org/10.1016/0167-9473(88)90042-4.

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27

Aziz, Nor Azlina Ab, Marizan Mubin, Zuwairie Ibrahim, and Sophan Wahyudi Nawawi. "Statistical Analysis for Swarm Intelligence — Simplified." International Journal of Future Computer and Communication 4, no. 3 (2015): 193–97. http://dx.doi.org/10.7763/ijfcc.2015.v4.383.

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28

Li, Ken W. "A Model of Teaching Statistical Computing." International Journal of Information and Education Technology 6, no. 2 (2016): 143–47. http://dx.doi.org/10.7763/ijiet.2016.v6.674.

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29

Anchan, Tanushri. "Crimes Against Women: A Statistical Analysis." Indian Journal of Applied Research 4, no. 2 (October 1, 2011): 8–9. http://dx.doi.org/10.15373/2249555x/feb2014/35.

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30

Doyle, E. Kevin, Vesa Tuomi, and Ian Rowley. "ICONE15-10441 Initiating Statistical Maintenance Optimization." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_234.

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31

Xue, Xuemei, and Jian Tao. "Statistical Order Convergence and Statistically Relatively Uniform Convergence in Riesz Spaces." Journal of Function Spaces 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/9092136.

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A new concept of statistically e-uniform Cauchy sequences is introduced to study statistical order convergence, statistically relatively uniform convergence, and norm statistical convergence in Riesz spaces. We prove that, for statistically e-uniform Cauchy sequences, these three kinds of convergence for sequences coincide. Moreover, we show that the statistical order convergence and the statistically relatively uniform convergence need not be equivalent. Finally, we prove that, for monotone sequences in Banach lattices, the norm statistical convergence coincides with the weak statistical convergence.

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32

OTSUKA, Akimasa, and Fusaomi NAGATA. "3348 Statistical Tolerance Design System for Mass Production Based on Assembly Performance by Using Statistical Tolerance Index." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2011.6 (2011): _3348–1_—_3348–6_. http://dx.doi.org/10.1299/jsmelem.2011.6._3348-1_.

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33

Rosenholtz, R., B. J. Balas, A. Raj, L. Nakano, and L. Ilie. "The Visual System as Statistician: Statistical Representation in Early Vision." Journal of Vision 10, no. 7 (August 2, 2010): 23. http://dx.doi.org/10.1167/10.7.23.

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34

Bayzid, Md Shamsuzzoha, Siavash Mirarab, Bastien Boussau, and Tandy Warnow. "Weighted Statistical Binning: Enabling Statistically Consistent Genome-Scale Phylogenetic Analyses." PLOS ONE 10, no. 6 (June 18, 2015): e0129183. http://dx.doi.org/10.1371/journal.pone.0129183.

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35

Tani, Hiroaki, Kazumi Arahata, and Mamoru Umemura. "Statistical method." Journal of exercise physiology 5, no. 4 (1990): 221–31. http://dx.doi.org/10.1589/rika1986.5.221.

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36

Chung, Jaewon, Eric Bridgeford, Jesús Arroyo, Benjamin D. Pedigo, Ali Saad-Eldin, Vivek Gopalakrishnan, Liang Xiang, Carey E. Priebe, and Joshua T. Vogelstein. "Statistical Connectomics." Annual Review of Statistics and Its Application 8, no. 1 (March 7, 2021): 463–92. http://dx.doi.org/10.1146/annurev-statistics-042720-023234.

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The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain is commonly modeled as a connectome, a network of nodes connected by edges. While there have been thousands of papers on connectomics, the statistics of networks remains limited and poorly understood. Here, we provide an overview from the perspective of statistical network science of the kinds of models, assumptions, problems, and applications that are theoretically and empirically justified for analysis of connectome data. We hope this review spurs further development and application of statistically grounded methods in connectomics.

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37

Rennolls, Keith, P. H. Garthwaite, I. T. Jolliffe, and B. Jones. "Statistical Inference." Journal of the Royal Statistical Society. Series A (Statistics in Society) 159, no. 3 (1996): 622. http://dx.doi.org/10.2307/2983341.

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38

Crowder, Martin, P. H. Garthwaite, I. T. Jolliffe, and B. Jones. "Statistical Inference." Statistician 45, no. 3 (1996): 386. http://dx.doi.org/10.2307/2988478.

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39

Brunson, Barry W., and Vijay K. Rohatgi. "Statistical Inference." American Mathematical Monthly 94, no. 2 (February 1987): 210. http://dx.doi.org/10.2307/2322441.

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40

Lindley, D. V., and Vijay K. Rohatgi. "Statistical Inference." Mathematical Gazette 69, no. 447 (March 1985): 63. http://dx.doi.org/10.2307/3616474.

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41

Ashcraft, Alyce A. "Statistical Graffiti." Journal of Nursing Education 45, no. 1 (January 1, 2006): 44–45. http://dx.doi.org/10.3928/01484834-20060101-12.

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42

Caruso, Maria Girolama. "Statistical Appendix." WELFARE E ERGONOMIA, no. 1 (March 2017): 83–90. http://dx.doi.org/10.3280/we2016-001009.

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43

Lever, Annabelle. "Statistical discrimination." Philosophers' Magazine, no. 72 (2016): 75–76. http://dx.doi.org/10.5840/tpm20167239.

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44

Anderson, Oliver D., and Warren Gilchrist. "Statistical Modelling." Technometrics 28, no. 4 (November 1986): 403. http://dx.doi.org/10.2307/1268994.

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45

Marcucci, Mark, and Sam Kachigan. "Statistical Analysis." Technometrics 30, no. 2 (May 1988): 235. http://dx.doi.org/10.2307/1270177.

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46

Ziegel, Eric R., M. Evans, N. Hastings, and B. Peacock. "Statistical Distributions." Technometrics 36, no. 2 (May 1994): 229. http://dx.doi.org/10.2307/1270252.

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47

Ziegel, Eric R., and Siu Chow. "Statistical Significance." Technometrics 41, no. 2 (May 1999): 181. http://dx.doi.org/10.2307/1270759.

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48

Ziegel, Eric R., G. Seeber, B. Francis, R. Hatzinger, and G. Stechel-Berger. "Statistical Modelling." Technometrics 38, no. 4 (November 1996): 413. http://dx.doi.org/10.2307/1271336.

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49

Demp, PH. "Statistical data." Journal of the American Podiatric Medical Association 84, no. 5 (May 1, 1994): 258. http://dx.doi.org/10.7547/87507315-84-5-258.

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50

Inglis, Sue. "Statistical gem." Medical Journal of Australia 177, no. 5 (July 2002): 259. http://dx.doi.org/10.5694/j.1326-5377.2002.tb04747.x.

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