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Multi-line characterization of whole molecular clouds using stratified random sampling.

• Authors : Tafalla, Mario¹ ; Usero, Antonio¹ ; Hacar, Álvaro²

• Source: EPJ Web of Conferences. 9/7/2022, Vol. 265, p1-4. 4p.

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Discussion on variety of cross-section candidate obtained by cross-section adjustment method.

• Authors : Odani, Sohei¹ ; Takeda, Satoshi¹; Kitada, Takanori¹

• Source: EPJ Web of Conferences. 3/29/2023, Vol. 281, p1-5. 5p.

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Statistical sampling applied to the radiological characterization of historical waste

• Authors : Zaffora Biagio; Magistris Matteo; Saporta Gilbert

Subjects: Nuclear engineering. Atomic power; TK9001-9401

• Source: EPJ Nuclear Sciences & Technologies, Vol 2, p 34 (2016)

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Testing framework and monitoring system for the ATLAS EventIndex.

• Authors : Cherepanova, Elizaveta¹ ; Gallas, Elizabeth J.² ; Prokoshin, Fedor³

• Source: EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-7. 7p.

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Novel position reconstruction methods for highly granular electromagnetic calorimeters.

• Authors : Madison, Brendon; Wilson, Graham

Subjects: CALORIMETERS; CENTER of mass; PHOTONS

• Source: EPJ Web of Conferences; 12/18/2024, Vol. 315, p1-14, 14p

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Rare event sampling with stochastic growth algorithms.

• Authors : Prellberg, Thomas¹

• Source: EPJ Web of Conferences. 2013, Issue 44, p01001-p.1-01001-p.11. 11p.

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Application of maximum statistical entropy in formulating a non-gaussian probability density function in flow uncertainty analysis with prior measurement knowledge.

• Authors : Ramnath, Vishal

Subjects: MONTE Carlo method; PROBABILITY density function; STATISTICS

• Source: International Journal of Metrology & Quality Engineering; 2024, Vol. 15, p1-30, 30p

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Fixed-α and fixed-β efficiencies.

• Authors : Withers, Christopher S.¹; Nadarajah, Saralees²

• Source: ESAIM: Probability & Statistics. Jan2013, Vol. 17, p224-235. 12p.

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POWER OF A CLASS OF GOODNESS-OF-FIT TESTS I.

• Authors : Withers, Christopher S.¹; Nadarajah, Saralees²

• Source: ESAIM: Probability & Statistics. Jul2009, Vol. 13 Issue 4, p283-300. 18p. 3 Graphs.

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Using the Monte-Carlo method to analyze experimental data and produce uncertainties and covariances.

• Authors : Henning, Greg; Kerveno, Maëlle; Dessagne, Philippe

Subjects: NUCLEAR cross sections; BRANCHING ratios; MONTE Carlo method

• Source: EPJ Web of Conferences; 5/26/2023, Vol. 284, p1-4, 4p

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