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Articoli di riviste sul tema "Statistical"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Stilwell, Brad T., Darrell A. Worthy, and Brian A. Anderson. "How Statistical is “Statistically-Learned” Distractor Suppression?" Journal of Vision 25, no. 9 (2025): 1963. https://doi.org/10.1167/jov.25.9.1963.

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2

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

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3

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

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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 (2006): 690–97. http://dx.doi.org/10.1016/j.jmaa.2005.06.006.

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5

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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6

Begum, Hasina. "Statistical Analysis in GWAS." International Journal of Science and Research (IJSR) 12, no. 12 (2023): 1072–78. http://dx.doi.org/10.21275/sr231215085226.

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7

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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8

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

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9

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

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10

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

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11

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 (2012): 217–19. http://dx.doi.org/10.1177/201010581202100312.

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12

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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13

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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14

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

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15

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

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16

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

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17

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

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18

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

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19

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

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20

Kucukaslan, E. Kaya, and R. Wagner. "On statistical convergence and statistical monotonicity." Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, no. 39 (2013): 257–70. https://doi.org/10.71352/ac.39.257.

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21

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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Abstract (sommario):

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 conv

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22

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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23

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

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24

N Prasad, S., and Ajay Kumar Diwakar. "Statistical Analysis of Cancer Data." International Journal of Science and Research (IJSR) 11, no. 8 (2022): 1153–54. http://dx.doi.org/10.21275/sr22819190317.

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25

Kaur, Gurinder. "Research Methodology and Statistical Analysis." International Journal of Science and Research (IJSR) 13, no. 7 (2024): 586–89. http://dx.doi.org/10.21275/sr24710133153.

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26

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

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Abstract (sommario):

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 stati

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27

Zhao, Bin. "Statistical analysis on Alzheimer's disease." Journal of Infectious Diseases & Travel Medicine 7, no. 2 (2023): 1–18. http://dx.doi.org/10.23880/jidtm-16000177.

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Alzheimer's disease is a progressive neurodegenerative disease that occurs mostly in the elderly and has memory impairment as the main clinical symptom. There is no ideal treatment for Alzheimer's disease, so early prevention is important. In this paper, we use brain structural information to diagnose Alzheimer's disease features and cognitive-behavioral characteristics, which is important for early and accurate diagnosis of mild cognitive impairment. To investigate the factors influencing Alzheimer's disease, a correlation analysis model was developed after preprocessing the missing values of

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28

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 (2010): 23. http://dx.doi.org/10.1167/10.7.23.

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29

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 (2015): e0129183. http://dx.doi.org/10.1371/journal.pone.0129183.

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30

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

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31

Peyghan, Esmaeil, Leila Nourmohammadifar, and Ion Mihai. "Statistical Submanifolds Equipped with F-Statistical Connections." Mathematics 12, no. 16 (2024): 2492. http://dx.doi.org/10.3390/math12162492.

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Abstract (sommario):

This paper deals with statistical submanifolds and a family of statistical connections on them. The geometric structures such as the second fundamental form, curvatures tensor, mean curvature, statistical Ricci curvature and the relations among them on a statistical submanifold of a statistical manifold equipped with F-statistical connections are examined. The equations of Gauss and Codazzi of F-statistical connections are obtained. Such structures when the statistical submanifolds are conjugate symmetric are discussed. We present a inequality for statistical submanifolds in real space forms w

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32

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

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33

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

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Abstract (sommario):

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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34

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

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Abstract (sommario):

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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35

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

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36

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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37

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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38

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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39

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

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40

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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41

Navatha, K., and V. V Hara Gopal. "Statistical Modelling for Health Insurance Data." International Journal of Science and Research (IJSR) 11, no. 11 (2022): 1082–84. http://dx.doi.org/10.21275/sr221118184114.

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42

Srivastava, Uma. "Rough Statistical Convergence on Biquadratic Sequences." International Journal of Science and Research (IJSR) 11, no. 10 (2022): 1081–85. http://dx.doi.org/10.21275/sr221022181930.

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43

HRYTSUN, Viktoriia. "STATISTICAL STUDY OF INTERNATIONAL FINANCIAL ASSISTANCE." Herald of Khmelnytskyi National University. Economic sciences 304, no. 2(2) (2022): 307–12. http://dx.doi.org/10.31891/2307-5740-2022-304-2(2)-48.

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Abstract (sommario):

Investment is the primary catalyst for the development of any country. Without appropriate investment, recovery and a prosperous future for Ukraine are impossible. Despite thorough studies of domestic and foreign investment trends, more attention should be paid to analyzing the impact of crisis phenomena on the dynamics and structure of investments. The search for the main directions of activation of investment processes in conditions of the acute need for financial resources for the recovery of Ukraine requires further elaboration. The article aims to study the main trends, risks, and prospec

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44

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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45

Chung, Jaewon, Eric Bridgeford, Jesús Arroyo, et al. "Statistical Connectomics." Annual Review of Statistics and Its Application 8, no. 1 (2021): 463–92. http://dx.doi.org/10.1146/annurev-statistics-042720-023234.

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Abstract (sommario):

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 applicatio

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46

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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47

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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48

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

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49

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

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50

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

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