Editor:
Universidad Carlos III de Madrid. Departamento de Estadística
Issued date:
2012-05
Sponsor:
Research partially supported by research grants and projects ECO2011-25706 and
MTM2009-14039 (Ministerio de Ciencia e Innovación, Spain) and FQM329 (Junta de Andalucía, Spain),
all with EU ERDF funds. The third author was supported by Consolider "Ingenio Mathematica" through
her post-doc contract.
Serie/No.:
UC3M Working papers. Statistics and Econometrics 12-01
Project:
Gobierno de España. ECO2011-25706 Gobierno de España. MTM2009-14039
Rights:
Atribución-NoComercial-SinDerivadas 3.0 España
Abstract:
The capability of modeling non-exponentially distributed and dependent inter-arrival times as
well as correlated batches makes the Batch Markovian Arrival Processes (BMAP) suitable in
different real-life settings as teletraffic, queueing theory or actuarial The capability of modeling non-exponentially distributed and dependent inter-arrival times as
well as correlated batches makes the Batch Markovian Arrival Processes (BMAP) suitable in
different real-life settings as teletraffic, queueing theory or actuarial contexts. An issue to be
taken into account for estimation purposes is the identifiability of the process. This is an open
problem concerning BMAP-related processes. This paper explores the identifiability issue of the
two-state BMAP noted BMAP2(k), where k is the maximum batch arrival size. It is proven
that for k = 2 the process cannot be identified, under the assumptions that both the interarrival
times and batches sizes are observed. Additionally, a method to obtain an equivalent BMAP2(2)
to a given one is provided.[+][-]