New 239Pu adjustment method for ANDES WP2 3: covariances, uncertainty propagation and evaluation D. Rochman and A.J. Koning Nuclear Research and Consultancy Group, NRG, Petten, The Netherlands - Nuclear Research and Consultancy Group - Document - PDFSEARCH.IO

First Page		Document Content
Statistics Nuclear safety Numerical analysis Monte Carlo N-Particle Transport Code Propagation of uncertainty Science Nuclear technology Monte Carlo software Physics		New 239Pu adjustment method for ANDES WP2/3: covariances, uncertainty propagation and evaluation D. Rochman and A.J. Koning Nuclear Research and Consultancy Group, NRG, Petten, The Netherlands Add to Reading List Source URL: www.andes-nd.eu Download Document from Source Website File Size: 2,46 MB Share Document on Facebook

	Forecasting and Simulating Software Development Projects Effective Modeling of Kanban & Scrum Projects using Monte-carlo Simulation DocID: 1t0aj - View Document
	THE EGS5 CODE SYSTEM1 Hideo Hirayama and Yoshihito Namito Radiation Science Center Advanced Research Laboratory High Energy Accelerator Research Organization (KEK) DocID: 1rjrf - View Document
	Fast Bayesian modeling in Stan using rstan mc-stan.org DocID: 1qMm2 - View Document
	An Improved Parser for Data-Oriented Lexical-Functional Analysis Rens Bod Informatics Research Institute, University of Leeds, Leeds LS2 9JT, UK, & Institute for Logic, Language and Computation, University of Amsterdam r DocID: 1qerk - View Document
	Contrasting Reinforcement Learning and Gigabit Switches Ike Antkare International Institute of Technology United Slates of Earth DocID: 1pQKT - View Document