Titlebook: Matrices, Statistics and Big Data; Selected Contributio S. Ejaz Ahmed,Francisco Carvalho,Simo Puntanen Conference proceedings 2019 Springer

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書目名稱Matrices, Statistics and Big Data影響因子(影響力)




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Conference proceedings 2019 numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6

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Hybrid Model for Recurrent Event Data,ch subject) which is common in this type of data..In this chapter we present a new model, which we call hybrid model, with the purpose of minimizing some limitations of PWP model. With this model we obtained an improvement in the precision of the parameters estimates and a better fit to the simulated data.

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,Ingram Olkin (1924–2016): An Appreciation for a People Person,e words of his daughter Julia Olkin [.].Richard W. Cottle, Professor Emeritus of Management Science & Engineering and a close friend of Olkin, said [.]:.In the conversation part of the . [.], Ingram described himself:.We deeply miss you, a truly outstanding and unforgettable ., Ingram Olkin.

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Covariance Matrix Regularization for Banded Toeplitz Structure via Frobenius-Norm Discrepancy,ind .. Our simulation studies show that . is also more accurate than the sample covariance matrix . when estimating the covariance matrix . that has a banded Toeplitz structure. The studies also show that the proposed method works very well in regularization of covariance structure.

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Some Issues in Generalized Linear Modeling,and confidence intervals, (4) a question about the behavior of residuals for generalized linear models, and (5) a new approach in using generalized estimating equations (GEE) methods for marginal multinomial models.