Advances in Nuclear Science and Technology, Volume 23 - download pdf or read online

By Jeffery Lewins, Martin Becker

ISBN-10: 0306451840

ISBN-13: 9780306451843

ISBN-10: 0306478102

ISBN-13: 9780306478109

Quantity 23 makes a speciality of perturbation Monte Carlo, non-linear kinetics, and the move of radioactive fluids in rocks.

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23) is the same as Eq. (21). The details have been reported in papers [34,39]. Hence, the formalism developed in Section II can be applied to the analysis of power reactors with complicated reactions from the viewpoint of contraction of information. IV. APPLICATION TO AR MODEL ANALYSIS When a system is characterized by an AR (autoregressive) process, the method of AR model analysis is a powerful tool, since there are useful recursion algorithms for efficient computations [40,41] and popular information criterions such as FPE, AIC, and MDL [42-44].

KISHIDA then we have a recursion relation Using notations of matrix and vectors Eq. (10) is rewritten as Suppose that for then there is the Vandermonde matrix W such that where Substituting these relations into Eq. (11), we have If we put components as From Eq. (13) we have Eq. D. (5), Eq. (15) can be transformed 30 K. KISHIDA into where with The degree of the polynomial is d, and that of varies with the order of the TAR model. On some closed domain in the plane it can be evaluated that is finite and that the absolute value of decreases to zero as Using the difference on the TAR model order dependence between and we can determine the number of roots of in a suitable closed domain.

23) is the same as Eq. (21). The details have been reported in papers [34,39]. Hence, the formalism developed in Section II can be applied to the analysis of power reactors with complicated reactions from the viewpoint of contraction of information. IV. APPLICATION TO AR MODEL ANALYSIS When a system is characterized by an AR (autoregressive) process, the method of AR model analysis is a powerful tool, since there are useful recursion algorithms for efficient computations [40,41] and popular information criterions such as FPE, AIC, and MDL [42-44].

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Advances in Nuclear Science and Technology, Volume 23 by Jeffery Lewins, Martin Becker


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