Open Data Biblioteca Nacional de Portugal


República Portuguesa: Ministério da Cultura
Biblioteca Nacional de Portugal

Catálogo PORBASE: acesso por Identificadores Unívocos
Registos Bibliográficos associados ao registo de autoridade

Etiqueta de registo: 00989cam 2200229 450
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200 1# $a<A >arte poética de Sophia de Mello Breyner Andresen como "arte do ser"$e<os >contos como explicitação duma poética$fMaria João Quirino Rosa da Cunha Borges
210 ## $aLisboa$cM. J. Borges,$d1987
215 ## $a182 f.$d29 cm
328 ## $aTese de mestrado em Literatura Portuguesa apresentada à Faculdade de Letras da Universidade de Lisboa
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200 1# $aOn the extremal behavior of sub-sampled solutions of stochastic difference equat$fM. G. Scotto, K. F. Turman
210 #9 $aLisboa$cUniv. Centro de Estatística e Aplicações,$d2000
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200 1# $aBayesian approach to parameter estimation of the pareto distribution$fP. de Zea Bermudez, M.A. Amaral Turfman, K.F. Turkman
210 #9 $aLisboa$cCentro de Estatística e Aplicações,$d2000
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200 1# $aExtremal behaviour of trigonometric$epolynomials with random coefficients$fK. F. Turkman
210 #9 $aLisboa$cUniv. Centro de Estatística e Aplicações,$d2000
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200 1# $a?A ?Bayesian approach to event prediction$fMaria Antónia Amaral Turkman, Marília Reis, Feridun Turkman
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200 1# $a?A ?study of the air quality in Lisbon$e?a ?spatio-temporal model for the prediction of NO2 Levels$fJorge M.C. Oliveira, K.F. Turkman
210 #9 $aLisboa$cUniversidade. Centro de Estatística e Aplicações,$d2000
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200 1# $aAn application of optimal screening methods to respiratory illnesses$fM. A. Amaral Turkman, K.F. Turkman
210 #9 $aLisboa$cCentro de Estatística e Aplicações da Universidade de Lisboa,$d2001
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200 1# $aOptimal alarm systems for AR (p) processes$e?a ?bayesian approach$fM. Reis, M. A. Amaral Turkman, K. F. Turkman
210 #9 $aLisboa$cCentro de Estatística e Aplicações da Universidade,$d2001
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200 1# $aParameter and observation driven models for predicting precipitation$fMarília Antunes, Patrícia Bermudez, K. F. Turkman
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200 1# $aBayesian extreme quantile estimation for heavy-tailed distributions$fP. Bermudez, M. A. Amaral Turkman, K. F. Turkman
210 #9 $aLisboa$cCentro de Estatística e Aplicações da Universidade,$d2002
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200 1# $aExtremes of Volterra series expansions with heavy-tailed innovations$fM. G. Scotto, K. F. Turkman
210 #9 $aLisboa$cCentro de Estatística e Aplicações da Universidade de Lisboa,$dD.L. 2002
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200 1# $aExtremes of non-linear time series$fK. F. Turkman
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200 1# $aGéométrie et théorie des groupes$e<les >groupes hyperboliques de Gromov$fM. Coornaert
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200 1# $aCompanion to contemporary economic thought$fedited by David Greenaway, Michael Bleaney, Ian Stewart
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200 1# $aSome problems in bayesian hierarchical modeling of non-Gaussian spatial-temporal data$bTexto policopiado]$fJorge M. Mendes$gorient. Kamil Feridun Turkman
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200 1# $a?Um ?modelo regido pelas observações para dados de presipitação$fMarília Antunes, Kamil Feridun Turkman
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200 1# $aExtremes of continuous processes and their discrete skeletons$fK. F. Turkman
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