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Abduvaliev, A.A. (2015). Improvement of standardization systems, measurement traceability and conformity assessment in the Republic of Uzbekistan under market conditions [Doctoral dissertation]. Tashkent Institute of Irrigation and Melioration.
Akhmedov, B.M. (2009). Scientific foundations and methodology of measurement traceability in quality control of food products [Doctoral dissertation]. Tashkent Institute of Chemical Technology.
Arend, R.J. (2024). Measures of uncertainty (in decision-making). In Uncertainty in Strategic Decision Making. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-48553-4_9
Avdic, S., Demirovic, D., Hadzimustafic, E., et al. (2024). Distribution of mean time intervals between successive neutron counts for different phenomena and power law forms. The European Physical Journal Plus, 139, 443. https://doi.org/10.1140/epjp/s13360-024-05269-x
Cheng, Y., Chen, X., Li, H., Cheng, Z., Jiang, R., Lü, J., & Fu, H. (2018). Analysis and comparison of Bayesian methods for measurement uncertainty evaluation. Mathematical Problems in Engineering, Article ID 7509046. https://doi.org/10.1155/2018/7509046
Ferrero, A., & Scotti, V. (2022). Measurement uncertainty. In Forensic Metrology. Springer. https://doi.org/10.1007/978-3-031-14619-0_5
Ferrero, A., Salicone, S., & Jetti, H. V. (2019). Bayesian approach to uncertainty evaluation: Is it always working? 19th International Congress of Metrology, 16002, 1–14. https://doi.org/10.1051/ metrology/201916002
Genske, D.D. (2024). Principles of uncertainty. In Engineering Geology. Springer. https://doi. org/10.1007/978-3-662-68762-8_4
Gupta, H., Rab, S., & Garg, N. (2023). Evaluation and analysis of measurement uncertainty. In D.K. Aswal et al. (Eds.), Handbook of Metrology and Applications. Springer. https://doi.org/10.1007/978-981-19-1550-5_128-1
Huang, H. (2022). A new modified Bayesian method for measurement uncertainty analysis and the unification of frequentist and Bayesian inference. Journal of Probability and Statistical Science, 20(1), Article 515. https://doi.org/10.37119/jpss2022.v20i1.515
Huang, H. (2024). A practical two-step procedure for taking into account all available information (prior and current) about influence quantities in measurement uncertainty analysis. Accred Qual Assur, 29, 215–223. https://doi.org/10.1007/s00769-024-01583-0
ISO/IEC. (2008). Guide 98-3: Uncertainty of measurement – Part 3: Guide to the expression of uncertainty in measurement (GUM:1995). International Organization for Standardization.
Jabbarov, R.R. (2019). Improvement of the methodology for ensuring metrological traceability and measurement uncertainty of dynamic shear elasticity and viscosity of liquids [Doctoral dissertation]. Tashkent State Technical University.
Kounbach, S., Laassiri, S., Moutaoukil, Z., et al. (2023). Improvement of the characterization uncertainty of a matrix-certi�ied reference material for accurate measurement of H2SiF6 mass fraction in industrial �luorosilicic acid by using a direct measurement procedure. Analytical Sciences, 39, 1865– 1873. https://doi.org/10.1007/s44211-023-00391-9
Latipov, V.B. (2012). Methodology for evaluating measurement uncertainty of the composition and properties of substances and materials [Doctoral dissertation]. Tashkent State Technical University.
Levin, S.F. (2020). Inadequacy of mathematical models of measurement objects and calculations of risk based on the use of GOST ISO/IEC 17025–2019. Measurement Techniques, 63, 524– 533. https://doi.org/10.1007/s11018-020-01819-8
Li, Y.Q., Lin, M., & Xu, L.J. et al. (2024). Monte Carlo method for evaluation of surface emission rate measurement uncertainty. Nuclear Science and Techniques, 35, 118. https://doi.org/10.1007/ s41365-024-01474-6
Masharipov, Sh.M. (2019). O‘lchashlar noaniqligi kontseptsiyasi va unda qamrab olish koeffitsientini tanlash [The concept of measurement uncertainty and the choice of coverage factor]. Standard: Scientific and Technical Journal, (4), 8–9.
Masharipov, Sh.M., & Fattoyev, F.F. (2020). Scientific-methodological basis improvement of the metrological support in terms of the essential requirements for the measuring and testing uncertainties concept. Technical Science and Innovation, (4), 167–175.
Mendel, J.M. (2024). Sources of uncertainty and membership functions. In Explainable Uncertain Rule-Based Fuzzy Systems. Springer. https://doi.org/10.1007/978-3-031-35378-9_5
Ramsey, M.H., & Rostron, P.D. (2024). Measurement uncertainty from sampling and its role in validation of measurement procedures. Accred Qual Assur, 29, 153–162. https://doi.org/10.1007/ s00769-024-01575-0
Singh, S., Kulshrestha, M.J., & Rani, N. (2023). Traceability in analytical environmental measurements. In D.K. Aswal, S. Yadav, T. Takatsuji, P. Rachakonda, & H. Kumar (Eds.), Handbook of Metrology and Applications. Springer. https://doi.org/10.1007/978-981-99-2074-7_94
Stinnett, J., Santi, P.A., & Swinhoe, M.T. (2024). Basics of uncertainty. In W.H. Geist, P.A. Santi, & M.T. Swinhoe (Eds.), Nondestructive Assay of Nuclear Materials for Safeguards and Security (pp. 693– 708). Springer. https://doi.org/10.1007/978-3-031-58277-6_25
Toman, B. (2005). Bayesian approach to assessing uncertainty and calculating a reference value in key comparison experiments. Journal of Research of the National Institute of Standards and Technology, 110(6), 605–612. https://doi.org/10.6028/jres.110.085
Velásquez, C., Juiña, D., Iturra, F., Silva, B., & Barona, D. (2024). Methodology for declaration of conformity under ISO/IEC 17025 associating con�idence levels and risk analysis. In M.Z. Vizuete et al. (Eds.), Innovation and Research – Smart Technologies & Systems (Vol. 1041). Springer. https://doi. org/10.1007/978-3-031-63437-6_3
Weise, K., & Woger, W. (1993). A Bayesian theory of measurement uncertainty. Measurement Science and Technology, 4(1), 1–11. https://doi.org/10.1088/0957-0233/4/1/001
Willink, R. (2025). On the role of probability in science, analytical measurement and QUAM. Accred Qual Assur. https://doi.org/10.1007/s00769-025-01631-3