An asymptotic expansion is developed for the joint density of the sum and maximum of an i.i.d. sequence when the parent distribution is in the domain of extreme value attraction of the Gumbel distribution. Previous results by Chow and Teugels, extended by Anderson and Turkman, show that in this situation, the normalized sum and normalized maximum of the sample converge to independent normal and...

We propose a semiparametric estimator for multinomial discrete choice models. The term “semiparametric” refers to the fact that we do not specify a particular functional form for the error term in the random utility function and we allow for heteroskedasticity and serial correlation. Despite being semiparametric, the rate of convergence of the smoothed maximum score estimator is not affected by...

To explain cognitive and memory difficulties observed in some familial hemiplegic migraine (FHM) patients, we examined hippocampal neurotransmission and plasticity in knock-in mice expressing the FHM type 1 (FHM1) R192Q gain-of function mutation in the CACNA1A gene that encodes the α1A subunit of neuronal CaV2.1 channels. We determined stimulus intensity-response curves for anterior commissure-...

in defining the term social management strategy information, we can say, in short, that it is to organize social action aimed at solving problems of strategic policymaking and strategic planning of social services. direct service to the public not only means social welfare but also calls for constructive strategic policies in international atmosphere. smsi is the organized efforts of the societ...

Abstract—The Debye expansion integrals obtained by application of the Modified Watson Transformation and Debye series expansion to the Mie series for the high frequency plane wave transmitted into a double negative (DNG) cylinder are solved in the geometrically lit regions of the corresponding Debye series terms. The Debye series expansion is made up to the possible maximum term after which dou...

Discriminative training of feature space using maximum mutual information (fMMI) objective function has been shown to yield remarkable accuracy improvements. For noisy environments, fMMI can be regarded as an effective noise compensation algorithm and can play a significant role for noise robustness. Feature space speaker adaptation techniques such as feature space maximum likelihood linear reg...