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Stochastic models of atmospheric clouds structure
In: Statistical papers, Band 59, Heft 4, S. 1521-1532
ISSN: 1613-9798
A stochastic model of consideration set sizes
In: Journal of consumer behaviour, Band 14, Heft 3, S. 158-164
ISSN: 1479-1838
AbstractThis paper proposes a new model of consideration set sizes, which relies on a stochastic modelling approach to better understand data patterns. The paper combines the Poisson distribution with the lognormal distribution proposed by Hauser and Wernerfelt (1990) to create the Poisson lognormal (PLN) model of consideration set sizes. An advantage of PLN is that it allows variance within a given individual consumer. This is a crucial factor for brand managers who wish to choose a particular market to promote their brand, as a higher within‐individual variance suggests that there is more chance for a consumer to change their consideration set size, whereas a lower within‐individual variance indicates that a consumer tends to stick to his/her consideration set size. The paper then uses 10 datasets including service, durable and fast‐moving consumer goods across four countries to validate the new model and compare it with the lognormal model. The results show that PLN gives a good fit to these data. It outperforms the lognormal model. The average mean absolute percentage error of the PLN model is 12 per cent, whereas that of the lognormal model is 26 per cent. For managerial implications, the paper proposes a better tool to help brand managers analyse the nature and intensity of competition that is facing their brands. Also, relying on its stochastic element, the proposed model can help brand managers predict future brand consideration by their consumers, as well as evaluate any change in brand consideration, caused by marketing activity such as sales promotion and advertising. Copyright © 2014 John Wiley & Sons, Ltd.
Representation through Legislative Redistricting: A Stochastic Model
In: American journal of political science: AJPS, Band 33, Heft 4, S. 787
ISSN: 0092-5853
Stochastic models of control and economic dynamics
In: Economic theory, econometrics and mathematical economics
Hybrid Stochastic Models for Remaining Lifetime Prognosis
The United States Air Force is developing its next generation aircraft and is seeking to reduce the risk of catastrophic failures, maintenance activities, and the logistics footprint while improving its sortie generation rate through a process called autonomic logistics. Vital to the successful implementation of this process is remaining lifetime prognosis of critical aircraft components. Complicating this problem is the absence of failure time information; however, sensors located on the aircraft are providing degradation measures. This research has provided a method to address at least a portion of this problem by uniting analytical lifetime distribution models with environment and/or degradation measures to obtain the remaining lifetime distribution.
BASE
Stochastic Models used in Static GPS Relative Positioning
In: Survey review, Band 38, Heft 299, S. 379-386
ISSN: 1752-2706
Representation through Legislative Redistricting: A Stochastic Model
In: American journal of political science, Band 33, Heft 4, S. 787
ISSN: 1540-5907
Representation Through Legislative Redistricting: A Stochastic Model
SSRN
Divergence in the Spatial Stochastic Model of Voting
In: Power, Freedom, and Voting, S. 259-287
Stochastic Models for Social Processes.David J. Bartholomew
In: The American journal of sociology, Band 74, Heft 3, S. 307-308
ISSN: 1537-5390
TOWARD A STOCHASTIC MODEL OF MANAGERIAL CAREERS
In: Administrative science quarterly: ASQ ; dedicated to advancing the understanding of administration through empirical investigation and theoretical analysis, Band 13, Heft 1, S. 26-46
ISSN: 0001-8392
A Stochastic Model of Commercial Bank Behavior
In: The American economist: journal of the International Honor Society in Economics, Omicron Delta Epsilon, Band 9, Heft 1, S. 27-34
ISSN: 2328-1235
The Dividend Problem in a Diffusive Stochastic Model
In: Blätter der DGVFM, Band 23, Heft 4, S. 459-464
ISSN: 1864-0303