Submitted by Ruth Quaresma de Freitas (ruth_quaresma@hotmail.com) on 2019-05-16T16:08:35Z No. of bitstreams: 1 MARCELO SAMPAIO DE ALENCAR - DISSERTAÇÃO PPGEE 1988..pdf: 51969725 bytes, checksum: e16b76bb08c71e542551534e7a40e978 (MD5)Made available in DSpace on 2019-05-16T16:08:35Z (GMT). No. of bitstreams: 1 MARCELO SAMPAIO DE ALENCAR - DISSERTAÇÃO PPGEE 1988..pdf: 51969725 bytes, checksum: e16b76bb08c71e542551534e7a40e978 (MD5) Previous issue date: 1988-12Um novo método é proposto para estimar a função densidade de probabilidade de sinais aleatórios , com aplicação para a área de comunicações . 0 método utiliza o teorema de Woodward e técnicas de análise espectral, em contrapartida às técnicas usuais de estimação, baseadas na análise tem...
Submitted by Ruth Quaresma de Freitas (ruth_quaresma@hotmail.com) on 2019-09-02T18:26:17Z No. of bit...
International audienceGaussian time-series models are often specified through their spectral density...
International audienceModern information systems must handle huge amounts of data having varied natu...
The estimation of probability density functions (PDFs) of a given random variable (r.v.) is involved...
Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-08-06T14:18:54Z No. of bitstream...
We propose a new estimator for the density of a random variable observed with an additive measuremen...
Presented is a new algorithm for implementing the Relative Entropy method for estimating the probabi...
An estimator of the spectral density of a stationary time series is obtained by fitting to the obser...
Gaussian time-series models are often specified through their spectral density. Such models present ...
Submitted by Deyse Queiroz (deysequeirozz@hotmail.com) on 2019-04-23T11:27:05Z No. of bitstreams: 1 ...
This thesis presents two main approaches to estimating the spectral density of a stationary time ser...
International audienceIn numerous applications data are observed at random times and an estimated gr...
This paper contains an empirical study of the accuracy of the Random Dec (RDD) technique. Realizatio...
Submitted by Cintia Machado (cpmachado@yahoo.com.br) on 2011-05-26T19:20:08Z No. of bitstreams: 1 20...
Em séries temporais os eventos extremos podem afetar consideravelmente a especificação de modelos, e...
Submitted by Ruth Quaresma de Freitas (ruth_quaresma@hotmail.com) on 2019-09-02T18:26:17Z No. of bit...
International audienceGaussian time-series models are often specified through their spectral density...
International audienceModern information systems must handle huge amounts of data having varied natu...
The estimation of probability density functions (PDFs) of a given random variable (r.v.) is involved...
Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-08-06T14:18:54Z No. of bitstream...
We propose a new estimator for the density of a random variable observed with an additive measuremen...
Presented is a new algorithm for implementing the Relative Entropy method for estimating the probabi...
An estimator of the spectral density of a stationary time series is obtained by fitting to the obser...
Gaussian time-series models are often specified through their spectral density. Such models present ...
Submitted by Deyse Queiroz (deysequeirozz@hotmail.com) on 2019-04-23T11:27:05Z No. of bitstreams: 1 ...
This thesis presents two main approaches to estimating the spectral density of a stationary time ser...
International audienceIn numerous applications data are observed at random times and an estimated gr...
This paper contains an empirical study of the accuracy of the Random Dec (RDD) technique. Realizatio...
Submitted by Cintia Machado (cpmachado@yahoo.com.br) on 2011-05-26T19:20:08Z No. of bitstreams: 1 20...
Em séries temporais os eventos extremos podem afetar consideravelmente a especificação de modelos, e...
Submitted by Ruth Quaresma de Freitas (ruth_quaresma@hotmail.com) on 2019-09-02T18:26:17Z No. of bit...
International audienceGaussian time-series models are often specified through their spectral density...
International audienceModern information systems must handle huge amounts of data having varied natu...