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The citations below have been collected in an experimental project,
CitEc . These are
citations from works listed in RePEc
that could be analyzed mechanically. So far, only a minority of all
works could be analyzed. Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.
| Working papers | Access
and download statistics Working papers
Brännäs, Kurt & Quoreshi, Shahiduzzaman, 2004.
"Integer-Valued Moving Average Modelling of the Number of Transactions in Stocks ,"
Umeå Economic Studies
637, Umeå University, Department of Economics.
[Downloadable!] Cited by:
Quoreshi, Shahiduzzaman, 2006.
"LongMemory, Count Data, Time Series Modelling for Financial Application ,"
Umeå Economic Studies
673, Umeå University, Department of Economics.
[Downloadable!]
Drost, F.C. & Akker, R. van den & Werker, B.J.M., 2007.
"Efficient Estimation of Autoregression Parameters and Innovation Distributions for Semiparametric Integer-Valued AR(p) Models (Subsequently replaced by DP 2008-53) ,"
Discussion Paper
2007-23, Tilburg University, Center for Economic Research.
Quoreshi, Shahiduzzaman, 2006.
"Time Series Modelling Of High Frequency Stock Transaction Data ,"
Umeå Economic Studies
675, Umeå University, Department of Economics.
[Downloadable!]
Quoreshi, Shahiduzzaman, 2006.
"A Vector Integer-Valued Moving Average Modelfor High Frequency Financial Count Data ,"
Umeå Economic Studies
674, Umeå University, Department of Economics.
[Downloadable!]
Drost, Feike C. & Akker, Ramon van den & Werker, Bas J.M., 2006.
"Local asymptotic normality and efficient estimation for inar (P) models ,"
Discussion Paper
45, Tilburg University, Center for Economic Research.
[Downloadable!]
Did you know? IDEAS was sponsored from 1997 to 2002 by the Université du Québec à Montréal .
This page was last updated on 2008-7-24.
This information is provided to you by IDEAS at the Department of Economics , College of Liberal Arts and Sciences , University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics .