A special issue on: Statistical methods in mining industry

Orietta Nicolis; Rodrigo Pascual

doi:10.1002/asmb.2339

A special issue on: Statistical methods in mining industry

Engineering School

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	259-260
Number of pages	2
Journal	Applied Stochastic Models in Business and Industry
Volume	34
Issue number	3
DOIs	https://doi.org/10.1002/asmb.2339
Publication status	Published - 1 May 2018

ASJC Scopus subject areas

Modelling and Simulation
General Business,Management and Accounting
Management Science and Operations Research

Access to Document

10.1002/asmb.2339

Cite this

@article{52f35279430c48448c3b7e94a4425414,

title = "A special issue on: Statistical methods in mining industry",

author = "Orietta Nicolis and Rodrigo Pascual",

year = "2018",

month = may,

day = "1",

doi = "10.1002/asmb.2339",

language = "English",

volume = "34",

pages = "259--260",

journal = "Applied Stochastic Models in Business and Industry",

issn = "1524-1904",

publisher = "John Wiley and Sons Ltd",

number = "3",

}

TY - JOUR

T1 - A special issue on

T2 - Statistical methods in mining industry

AU - Nicolis, Orietta

AU - Pascual, Rodrigo

PY - 2018/5/1

Y1 - 2018/5/1

UR - http://www.scopus.com/inward/record.url?scp=85047547509&partnerID=8YFLogxK

U2 - 10.1002/asmb.2339

DO - 10.1002/asmb.2339

M3 - Editorial

AN - SCOPUS:85047547509

SN - 1524-1904

VL - 34

SP - 259

EP - 260

JO - Applied Stochastic Models in Business and Industry

JF - Applied Stochastic Models in Business and Industry

IS - 3

ER -

A special issue on: Statistical methods in mining industry

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this