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RETRACTED: Stimulus organism response model based analysis on consumers’ online impulse buying behavior

The International Journal of Electrical Engineering & Education, 2020
In this paper, the “stimulus-organism-response (S-O-R)” analysis framework of environmental psychology is applied to the research of online consumer behavior, and the mechanism of the effect of information quality factors on impulsive buying behavior is ...
Beilei Liu   +4 more
semanticscholar   +1 more source

Minimum-phase impulse response channels

IEEE Transactions on Communications, 2009
We give a sufficient condition that insures that the impulse response of a channel is of minimum phase. The condition is that the energy of the first path be larger than the power spectral density of all subsequent paths. Establishing a lower bound to the first path energy, this condition is more likely to be met if transmitter and receiver are in line-
CASSIOLI, DAJANA, MECOZZI, ANTONIO
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Nonlinear impulse responses

2010
AbstractThis short chapter presents an important tool in interpreting estimated nonlinear models: the generalized impulse response function which is a random variable and thus has a distribution. Representing these functions, that is, estimated densities, using so‐called highest density regions is considered.
Timo Teräsvirta   +2 more
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Impulse Response Function

2008
Sims (1980) questioned the way classical simultaneous equations models were specified and identified. He argued in particular that the exogeneity assumptions for some of the variables are often problematic. As an alternative he advocated the use of vector autoregressive (VAR) models for macroeconometric analysis. These models have the form where y t = (
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Heart response to horizontal impulse

Journal of Medical Engineering & Technology, 1998
Lumped body parameters linear and nonlinear models have been developed and used for the analysis of the response of the heart in a seated human body due to impulsive horizontal inputs at various body segments. The acceleration transfer magnitude and phase due to impulsive inputs at various body segments are reported.
W, Qassem, M, Jarrah, M, Othman
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What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model

Telematics and informatics, 2018
The prevalence of smart devices and wireless networks has steered online traders toward mobile devices, which has promoted the rapid development of auction platforms in the mobile commerce market.
Chia-Chen Chen, Jun Yao
semanticscholar   +1 more source

Nonlinear innovations and impulse responses [PDF]

open access: possible, 1999
This paper introduces a concept of innovation for the analysis of nonlinear dynamics. We show that nonlinear processes can be represented as functions of current and lagged values of such innovations. The residuals from nonlinear dynamic models axe used to construct various specification tests.
Christian Gourieroux, Joanna Jasiak
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Finite impulse response digital filters

1999
The recursive filters of Chapter 5 are very efficient structures for achieving steep-sided filter designs, with low transition bandwidth. However, in many situations, their poor phase response is a severe limitation. Finite impulse response (FIR) filters are nonrecursive, making them unconditionally stable, and further they offer the possibility of ...
Bernard Mulgrew   +2 more
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Infinite impulse response filters

2021
In this chapter, Infinite Impulse Response Filters, another type of filter called the IIR filter is designed and analyzed. This type of filters requires less number of coefficients for the same specification. However, it is susceptible to instability.
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Are Impulse Responses Gaussian Noises?

The Journal of the Acoustical Society of America, 2011
Many years ago, Manfred Schroeder proved that transfer functions in rooms follow complex Gaussian distributions. This property was extended to impulse responses by the author, following a suggestion by Moorer for simulating impulse responses. More recently, several authors have checked again the later property with modern signal analysis tools.
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