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1

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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2

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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3

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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4

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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5

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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6

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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7

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 conv
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8

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

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9

MUNRO, BARBARA HAZARD. "Statistical Analysis." Clinical Nurse Specialist 3, no. 3 (1989): 113. http://dx.doi.org/10.1097/00002800-198900330-00004.

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10

Mnrcucci, Mark. "Statistical Analysis." Technometrics 30, no. 2 (1988): 235. http://dx.doi.org/10.1080/00401706.1988.10488379.

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11

Lewis, Roger J. "Statistical analysis." Annals of Emergency Medicine 20, no. 3 (1991): 323. http://dx.doi.org/10.1016/s0196-0644(05)80953-9.

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12

Kloke, John, and Johanna Hardin. "Statistical Analysis." Current Protocols Essential Laboratory Techniques 00, no. 1 (2008): A.4A.1—A.4A.30. http://dx.doi.org/10.1002/9780470089941.eta04as00.

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13

Couturier, Raphaël, and Rubén Pazmiño. "Use of Statistical Implicative Analysis in Complement of Item Analysis." International Journal of Information and Education Technology 6, no. 1 (2016): 39–43. http://dx.doi.org/10.7763/ijiet.2016.v6.655.

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14

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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15

Jumaev, Dilshod Qurbonmuratovich. "Statistical Analysis Of Investment In Construction Organizations." American Journal of Management and Economics Innovations 3, no. 06 (2021): 77–85. http://dx.doi.org/10.37547/tajmei/volume03issue06-12.

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In this article reveals the role of the construction sector in the economy. Also, performed economic and statistical analysis of the change in the housing stock and attracted investments in the construction sector. Scientific and practical proposals for solving problems formed in construction have been developed.
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16

Kakati, Nabanita, and Bipin Gogoi. "Neutrosophic Statistical Approach to Multiple Comparison Analysis." Indian Journal Of Science And Technology 18, no. 25 (2025): 2023–30. https://doi.org/10.17485/ijst/v18i25.270.

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Objective: This study investigates the implementations of neutrosophic statistics in multiple comparison tests in situations with uncertain data, which commonly arise in real-world settings. Methods: This study proposed four post-hoc tests viz. Tukey-Kramer (𝑇 𝐾𝐾𝑅𝑁), Dunnet (𝐷𝑁𝑇 𝑁), Tamhane’s (𝑇 2𝑁), and Dunn (𝐷𝑁) tests in undetermined situations with simulation work. The empirical levels and power calculations through simulation studies are used in a one-way design framework at a 5% significance level. Findings: The study reveals that Tamhane’s (𝑇 2𝑁) and Dunn (𝐷𝑁) test satisfied the empirica
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17

Kadilar, Gamze Ozel. "Statistical analysis of the foundation universities in Turkey." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 3 (2017): 101–8. http://dx.doi.org/10.18844/prosoc.v4i3.2521.

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18

Kassab, Ahmed S. "Statistical analysis of a Cretaceous Oyster from Egypt." Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen 182, no. 2 (1991): 239–54. http://dx.doi.org/10.1127/njgpa/182/1991/239.

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19

Atabaevna, Matkarimova Intizor, and Saburov Javohir. "ANALYSIS OF RELATIONSHIPS IN ECONOMETRICS USING STATISTICAL METHODS." International Journal Of Management And Economics Fundamental 4, no. 5 (2024): 58–63. http://dx.doi.org/10.37547/ijmef/volume04issue05-09.

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20

Jumaev, Q. X. "STATISTICAL ANALYSIS OF THE EFFECTIVENESS OF AGRICULTURAL ACTIVITIES." International Journal of Advance Scientific Research 03, no. 06 (2023): 326–33. http://dx.doi.org/10.37547/ijasr-03-06-53.

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Agricultural activities play a crucial role in ensuring food security and sustainable development. Understanding the effectiveness of these activities is essential for optimizing resource allocation, increasing productivity, and addressing challenges such as climate change and population growth. This article presents a comprehensive statistical analysis of the effectiveness of agricultural activities, highlighting key methodologies, data sources, and analytical approaches. Through the examination of case studies and empirical evidence, this study aims to provide insights into the factors influ
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21

Le Fevre, Andrea. "Statistical Power Analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 168, no. 2 (2005): 465. http://dx.doi.org/10.1111/j.1467-985x.2005.358_14.x.

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22

KIKUCHI, MACOTO, NOBUYASU ITO, and YUTAKA OKABE. "STATISTICAL DEPENDENCE ANALYSIS." International Journal of Modern Physics C 07, no. 03 (1996): 379–87. http://dx.doi.org/10.1142/s0129183196000326.

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We review our recent studies on the dynamical correlations in MC simulations from the view point of the statistical dependence. Attentions are paid to the reduction of the statistical degrees of freedom for correlated data. Possible biases on several cumulants, such as the susceptibility and the Binder number due to finite MC length are discussed. A new method for calculating the equilibrium relaxation time from the analysis of the statistical dependence is presented. We apply it to the critical dynamics of the Ising model to estimate the dynamical critical exponent accurately.
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23

Jain, Sunil, and Vishwani Agrawal. "Statistical Fault Analysis." IEEE Design & Test of Computers 2, no. 1 (1985): 38–44. http://dx.doi.org/10.1109/mdt.1985.294683.

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24

Cohen, Jacob. "Statistical Power Analysis." Current Directions in Psychological Science 1, no. 3 (1992): 98–101. http://dx.doi.org/10.1111/1467-8721.ep10768783.

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25

Yang, Yang, and Mi Chen. "Statistical analysis regarding." PAIN 156, no. 7 (2015): 1366. http://dx.doi.org/10.1097/j.pain.0000000000000167.

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26

Belunis, Nancy. "Statistical Process Analysis." Technometrics 43, no. 2 (2001): 230–31. http://dx.doi.org/10.1198/004017001750386341.

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27

Ziegel, Eric. "Statistical Data Analysis." Technometrics 31, no. 2 (1989): 272. http://dx.doi.org/10.1080/00401706.1989.10488540.

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28

Mathew, Thomas. "Multivariate Statistical Analysis." Technometrics 39, no. 1 (1997): 101. http://dx.doi.org/10.1080/00401706.1997.10485445.

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29

Conklin, Joseph. "Statistical Analysis Simplified." Technometrics 42, no. 2 (2000): 205. http://dx.doi.org/10.1080/00401706.2000.10486000.

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30

Owen, W. Jason. "Statistical Data Analysis." Technometrics 42, no. 3 (2000): 311–12. http://dx.doi.org/10.1080/00401706.2000.10486057.

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31

Cales, Richard H. "Meaningful statistical analysis." Annals of Emergency Medicine 15, no. 10 (1986): 1255. http://dx.doi.org/10.1016/s0196-0644(86)80905-2.

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32

Trenkler, Götz. "Multivariate statistical analysis." Computational Statistics & Data Analysis 24, no. 3 (1997): 372. http://dx.doi.org/10.1016/s0167-9473(97)87027-2.

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33

Bland, J. M. "Statistical analysis inappropriate." BMJ 308, no. 6924 (1994): 339. http://dx.doi.org/10.1136/bmj.308.6924.339b.

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34

Copeland, Karen A. F. "Multivariate Statistical Analysis." Journal of Quality Technology 29, no. 4 (1997): 494. http://dx.doi.org/10.1080/00224065.1997.11979809.

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35

Zimmer, Lora. "Statistical Process Analysis." Journal of Quality Technology 33, no. 3 (2001): 384–85. http://dx.doi.org/10.1080/00224065.2001.11980090.

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36

Hassard, Tom, and Allan B. Becker. "Faulty statistical analysis." Journal of Pediatrics 109, no. 6 (1986): 1075. http://dx.doi.org/10.1016/s0022-3476(86)80306-7.

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37

Williams, Ruth. "Statistical data analysis." Nursing Management 23, no. 1 (2016): 19. http://dx.doi.org/10.7748/nm.23.1.19.s22.

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38

Pagès, J., S. Berthelo, M. Brossier, and D. Gourret. "Statistical penalty analysis." Food Quality and Preference 32 (March 2014): 16–23. http://dx.doi.org/10.1016/j.foodqual.2013.07.008.

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39

Orlov, A. I. "Interval statistical analysis." Journal of Mathematical Sciences 81, no. 4 (1996): 2851–57. http://dx.doi.org/10.1007/bf02362491.

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40

Dean, David. "Statistical Shape Analysis." Journal of Human Evolution 38, no. 3 (2000): 455–57. http://dx.doi.org/10.1006/jhev.1999.0391.

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41

Lachin, John M. "Nonparametric Statistical Analysis." JAMA 323, no. 20 (2020): 2080. http://dx.doi.org/10.1001/jama.2020.5874.

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42

Dubrovin, Valerii, Larysa Deineha, and Anastasiya Yatsenko. "Statistical analysis software." Electrical Engineering and Power Engineering, no. 3 (November 23, 2023): 25–32. http://dx.doi.org/10.15588/1607-6761-2023-3-3.

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Purpose. Analysis of existing software to perform statistical analysis for further use as part of the selection of the necessary software for data processing. Methodology. To conduct a software review, an analysis of scientific articles and open sources on statistical analysis software was conducted. Findings. Choosing the right statistical software is a key decision in the field of data analysis, with numerous options to meet a variety of needs. This article provides a comprehensive overview of five leading statistical software tools: IBM SPSS Statistics, RStudio, Stata, Minitab, and Python.
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43

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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44

Torres-Carrasco, M., J. G. Palomo, and F. Puertas. "Sodium silicate solutions from dissolution of glasswastes. Statistical analysis." Materiales de Construcción 64, no. 314 (2014): e014. http://dx.doi.org/10.3989/mc.2014.05213.

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45

MILOSAN, Ioan. "STATISTICAL PROCESSING OF EXPERIMENTAL DATA USING ANALYSIS OF VARIANCE." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (2016): 489–96. http://dx.doi.org/10.19062/2247-3173.2016.18.1.67.

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46

Gai, Oleksandr, and Olena Magopets. "Statistical Problems and Imperatives in Wartime: a Critical Analysis." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 10(43) (2023): 44–51. http://dx.doi.org/10.32515/2663-1636.2023.10(43).44-51.

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The article highlights the modern perspectives of statistics as a science and its role in various fields of human activity. The article is based on the analysis of current trends in the development of statistics, as well as its significance in the era of the digital revolution and the information age. The prospects of statistics as a science are incredibly promising and diverse, covering different fields and industries. Through a broad analysis of current trends and achievements, this article sheds light on the development of statistics and its potential impact on shaping the future. As a resu
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47

Sokhobjonovich, Olimov Saidullo. "Analysis paths of the statistical part of research work." American Journal Of Social Sciences And Humanity Research 5, no. 3 (2025): 1–4. https://doi.org/10.37547/ajsshr/volume05issue03-01.

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The quality of a research work is that it is properly proportionally connected to its reliability. These analyses are components of my mechanism that form the basis of the study. Today there are several methods and usluls for determining the quality of studies. Digital technology, in particular, the penetration of artificial intelligence into our lives and science, has had a positive impact on human life.
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48

Dhakre, D. S., and D. Bhattacharya. "Statistical Analysis Step-By-Step Using Statistical Calculator." International Journal of Current Microbiology and Applied Sciences 7, no. 11 (2018): 901–21. http://dx.doi.org/10.20546/ijcmas.2018.711.107.

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49

Aizawa, Naoyuki, and Emiko Nakasone. "Statistical Method. Correlation Analysis." Journal of exercise physiology 4, no. 4 (1989): 223–29. http://dx.doi.org/10.1589/rika1986.4.223.

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50

Haigh, John, R. A. Johnson, and D. W. Wichern. "Applied Multivariate Statistical Analysis." Mathematical Gazette 72, no. 462 (1988): 331. http://dx.doi.org/10.2307/3619964.

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