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Detalhes Referência

Tipo
Artigos em Conferência

Tipo de Documento
Apresentação Convidada

Título
Penultimate approximations in extreme value theory and reliability of large coherent systems

Participantes na publicação
M. Ivette Gomes (Author)
Dep. Estatística e Investigação Operacional
CEAUL
Paula Reis (Author)
Luisa Canto e Castro (Author)
Dep. Estatística e Investigação Operacional
CEAUL
Sandra Dias (Author)

Editor
Christos H. Skyadas

Data de Publicação
2017

Instituição
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Evento
Proceedings of the 17th Conference of the Applied Stochastic Models and Data Analysis International Conference (ASMDA 2017

Identificadores da Publicação

Local
London, UK

Editora
ISAST

Edição
ISAST

Número de Páginas
13
Página Inicial
431
Página Final
442

Identificadores do Documento
URL - https://onedrive.live.com/?authkey=%21AHTvMjQoFkllqQU&cid=CB6060F40BD0FF92&id=CB6060F40BD0FF92%211335&parId=CB6060F40BD0FF92%211331&o=OneUp
ISBN - 978-618-5180-23-2


Exportar referência

APA
M. Ivette Gomes, Paula Reis, Luisa Canto e Castro, Sandra Dias, (2017). Penultimate approximations in extreme value theory and reliability of large coherent systems. Proceedings of the 17th Conference of the Applied Stochastic Models and Data Analysis International Conference (ASMDA 2017, 431-442

IEEE
M. Ivette Gomes, Paula Reis, Luisa Canto e Castro, Sandra Dias, "Penultimate approximations in extreme value theory and reliability of large coherent systems" in Proceedings of the 17th Conference of the Applied Stochastic Models and Data Analysis International Conference (ASMDA 2017, London, UK, 2017, pp. 431-442, doi:

BIBTEX
@InProceedings{46477, author = {M. Ivette Gomes and Paula Reis and Luisa Canto e Castro and Sandra Dias}, title = {Penultimate approximations in extreme value theory and reliability of large coherent systems}, booktitle = {Proceedings of the 17th Conference of the Applied Stochastic Models and Data Analysis International Conference (ASMDA 2017}, year = 2017, pages = {431-442}, address = {London, UK}, publisher = {ISAST} }