A Study of New Approaches to Statistical Analysis of Research data
DOI:
https://doi.org/10.59436/jsiane.275.2583-2093Keywords:
Keywords: New Approaches, Statistical Analysis, Machine Learning, Deep Learning, Bayesian Methods, Network Analysis, Big Data, Cloud Computing, AI, IoT.Abstract
Statistical analysis has been at the heart of scientific research, providing critical tools for data interpretation, decision-making, and hypothesis testing. Some of the ancient techniques used were hypothesis testing, regression analysis, and time series analysis, among others. Such methods have proved to be good tools for researchers dealing with smaller and more structured datasets. However, the large size and complexity of the dataset exposed the weaknesses in such classical approaches, especially in handling large, unstructured, or non-linear datasets. Increased computing power and the development of machine learning algorithms have increased flexibility, nudging the statistical approach towards more flexible, data-driven methods. This paper reviews emerging approaches such as machine learning, deep learning, Bayesian methods, and network analysis and places an emphasis on how these approaches can be applied over a range of fields where they could vastly transform statistical analysis. Based on this review, comparing traditional and modern methodologies, it thereby demonstrates how innovations better complement rather than replacing the capabilities of statistical analysis, thus shaping the future of research in this changing environment.
References
Anderson, T. W., & Finn, J. D. (2012). The new statistical analysis of data. Springer Element of statistical technique,Vol. 389, 3-23.
Coppi, R., Gil, M. A., & Kiers, H. A. (2006). The fuzzy approach to statistical analysis. Computational statistics & data analysis, 51(1), 1-14. DOI: https://doi.org/10.1016/j.csda.2006.05.012
Dryden, I. L., & Mardia, K. V. (2016). Statistical shape analysis: with applications in R. John Wiley & Sons, 391-397. DOI: https://doi.org/10.1002/9781119072492
Garamszegi, L. Z. (2011). Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction. Behavioral Ecology and Sociobiology, 65, 1-11. DOI: https://doi.org/10.1007/s00265-010-1028-7
Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PloS one, 12(6), e0174035. DOI: https://doi.org/10.1371/journal.pone.0174035
Hahs-Vaughn, D. L., & Lomax, R. G. (2020). An introduction to statistical concepts. Routledge. 4th Ed., 1186. DOI: https://doi.org/10.4324/9781315624358
Judd, C. M., McClelland, G. H., & Ryan, C. S. (2017). Data analysis: A model comparison approach to regression, ANOVA, and beyond. Routledge, 3rd Ed., 378. DOI: https://doi.org/10.4324/9781315744131
Kruschke, J. K., & Liddell, T. M. (2018). The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychonomic Bulletin & Review, Vol. 25, 178-206. DOI: https://doi.org/10.3758/s13423-016-1221-4
Little, R. J., & Rubin, D. B. (2019). Statistical analysis with missing data (Vol. 793). Wiley Series in Probability and Statistics, pp. 1-28. DOI: https://doi.org/10.1002/9781119482260
Mannering, F. L., Shankar, V., & Bhat, C. R. (2016). Unobserved heterogeneity and the statistical analysis of highway accident data. Analytic methods in accident research, 11, 1-16. DOI: https://doi.org/10.1016/j.amar.2016.04.001
McElreath, R. (2018). Statistical rethinking: A Bayesian course with examples in R and Stan. Chapman and Hall/CRC, New York, 2nd Ed., 612. DOI: https://doi.org/10.1201/9781315372495
Mertler, C. A., Vannatta, R. A., & LaVenia, K. N. (2021). Advanced and multivariate statistical methods: Practical application and interpretation. Routledge.7th Ed., 1-324. DOI: https://doi.org/10.4324/9781003047223-1
Schabenberger, O., & Gotway, C. A. (2017). Statistical methods for spatial data analysis. Chapman and Hall/CRC, New York, 1st Ed., 512. DOI: https://doi.org/10.1201/9781315275086-1
Sprent, P., & Smeeton, N. C. (2007). Applied nonparametric statistical methods. CRC press, New York, 4th Ed., 544.
Washington, S., Karlaftis, M. G., Mannering, F., & Anastasopoulos, P. (2020). Statistical and econometric methods for transportation data analysis. Chapman and Hall/CRC, New York, 3rd Ed., 496. DOI: https://doi.org/10.1201/9780429244018-2
H. Wold (1948), "On prediction in stationary time series", Ann. Math. Statist., vol. 19, no. 4,pp. 558-567. DOI: https://doi.org/10.1214/aoms/1177730151
Shapiro SS, Wilk MB.( 1965) An analysis of variance test for normality (complete samples). Biometrika; 52:591– 611. DOI: https://doi.org/10.1093/biomet/52.3-4.591
J.-F. Chen, W.-M. Wang, and C.-M. Huang, (1995) ‘‘Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting,’’ Electr. Power Syst. Res., vol. 34, no. 3, pp. 187–196. DOI: https://doi.org/10.1016/0378-7796(95)00977-1
Tabachnick. B.G. & S.L. Fidell. (1996). Using multivariate statistics. (3rd Edition). Harper Collins College Publishers. New York.
Armstrong, R. A., Slade, S. V. and Eperjesi, F.(2000) An introduction to analysis of variance(ANOVA) with special reference to data fromclinical experiments in optometry. Ophthal Physiol. Opt 20, 235–241. DOI: https://doi.org/10.1046/j.1475-1313.2000.00502.x
Nickerson RS. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychol Methods.; 5:241–301. DOI: https://doi.org/10.1037//1082-989X.5.2.241
Chaudhary, S. and Kumar, A. (2012). Monitoring of Benzene, Toluene, Ethyl benzene and Xylene (BTEX) Concentration In ambient Air of Firozabad, India. International Archive of Applied Science & Technology, Vol. 3(2), 92-96.
Chaudhary, S. and Kumar, A. (2012). Study on Refuelling pump stations caused by BTEX Compounds in Firozabad city. International Archive of Applied Science & Technology, Vol. 3(2),75-79.
Chaudhary, S. and Sisodia, N. (2015). Analysis of Ketoconazole and Piribedil using Ion Selective Electrodes. IOSR Journal of Applied Chemistry, Vol. 8(1), Ver.II, 1-4.
Chaudhary, S. (2016). Effect of benzene and Xylene concentration on Public health in Ambient Air in City of Firozabad, India. PARIPEX – Indian Journal of Research,Vol. 5(11), 504-505.
Singh, V. and Chaudhary, S. (2019). Study of groundwater quality in Khurja city and adjoining areas of Khurja Borewell And hand-pump water. International Journal of Geography, Geology and Environment, 1(1), 95-9 9.
Chaudhary, S. and Singh, V. (2021). Toluene concentration at commercial site in ambient air of Firozabad and its Impact on human health, International journal of humanities, Law and Social Sciences, Vol. 8(1), 71-76.
Chaudhary, S. (2022). Benzene and Toluene concentration at different Traffic intersection during Pre-mid-post winter season, in ambient air of Aligarh and its impact on Human Health, PARIPEX - Indian Journal of Research, vol.11(8), 42-45. DOI: https://doi.org/10.36106/paripex/1804249
Chaudhary, S. (2022). Effect of BTEX Concentrations on human health, in ambient air at different refuelling pump stations in Firozabad, Journal of Socio-Economic Review, Vol. 9(2), 34-41.
Chaudhary, S. (2023). Photo electrochemical (PEC) Study of The Dye Sensitized High Band Gap Structure of ZnO Semiconductor electrodes Prepared by the SOL-Gel Method, PARIPEX- Indian journal of Research, Vol. 12(9), 94-96. DOI: https://doi.org/10.36106/paripex/3904058
Chaudhary, S. (2024). An Assessment of released Industrial Effluent and its impact on Water Quality, PARIPEX- Indian journal of Research, Vol. 13(8), 55-58. DOI: https://doi.org/10.36106/paripex/7204143
Chaudhary, S. (2024). Role of Native plant Species in Phytoremediation of Heavy Metals from Contaminated Soil at Atrauli and Panethi, PARIPEX- Indian journal of Research, Vol. 13(8), 59-62. DOI: https://doi.org/10.36106/paripex/5804246
Singh, Y., Chaudhary, S., Ravikant (2024). An Exhaustive examination of the models, methods, histories and viewpoints related to water quality Indexes (WQIs). AIRO journals, Vol. 3(1), 210-226.
Geeta, Chaudhary, S., Ravikant (2024). Heavy metals in Aligarg,s urban soil: An overview of health risks and pollution assessment, AIRO journals, Vol. 3(1), 228-244
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Maharaj Singh Educational Research Development Society
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.