@techreport{Aydnl2003Computational,
abstract = {The use of electronic spreadsheets as the primary software tool for teaching management
science modeling techniques and quantitative methods in economics
and finance undoubtedly played a key role in the increasing impact of quantitative
lectures given in graduate programs. Researchers suggest that the ability to
extract data from various sources and embed analytical decision models within
larger systems are two of the most valuable skills for business students entering
today?s IT dominated workplace.
In this paper we will try to contribute to this evolution and furthermore want
to argue in favor of spreadsheet applications as appropriate interface solution
to matrix oriented statistical languages.
We present two software solutions which are aimed to combine statistical
method servers and the spreadsheet application Excel. We will emphasize the
productivity gain in terms of transparency and reproducibility available by combining
the computational power of a statistical programming environment with
the direct manipulation facilities available in spreadsheet programs like Excel.
We also want to stimulate the discussion of securing the communication in such
a client/server environment.},
author = {G\"{o}khan Ayd\i{}nl\i{} and Wolfgang Karl H\"{a}rdle and E. Neuwirth},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {330; Statistics in education and practice; Spreadsheets; Client / Server based statistical Computing; Security; XploRe; R; Statistische Methodenlehre; PC-Software; XploRe},
language = {eng},
note = {urn:nbn:de:kobv:11-10050260},
number = {2003,26},
title = {Computational Statistics with Spreadsheets Towards Efficiency, Reproducibility and Security},
type = {Discussion papers of interdisciplinary research project 373},
url = {http://hdl.handle.net/10419/22241},
year = {2003}
}
