shifted beam - significado y definición. Qué es shifted beam
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Qué (quién) es shifted beam - definición

Shifted gompertz; Shifted Gompertz; Shifted Gompertz Distribution
  • Cumulative distribution plots of shifted Gompertz distributions
  • Probability density plots of shifted Gompertz distributions

Tractor beam         
FICTIONAL TECHNOLOGICAL DEVICE
Grapple Beam; Repulsor beam; Pressor beam
A tractor-beam is a device with the ability to attract one object to another from a distance. The concept originates in fiction: The term was coined by E.
tractor beam         
FICTIONAL TECHNOLOGICAL DEVICE
Grapple Beam; Repulsor beam; Pressor beam
¦ noun (in science fiction) a beam of energy that can be used to move objects such as spaceships or hold them stationary.
Balance beam         
  • [[Daniela Silivaș]] performing on the balance beam at the 1987 World Championships
  • [[Daniele Hypólito]] performing on the balance beam in 2007
  • [[Dorina Böczögő]] performing a one arm press hold during her mount, 2012.
  • 2013 European Youth Olympic Festival]].
ARTISTIC GYMNASTICS APPARATUS
Balance Beam; Gymnastics balance beam; Balance beam (gymnastics); Beam (gymnastics)
The balance beam is a rectangular artistic gymnastics apparatus and an event performed using the apparatus. Both the apparatus and the event are sometimes simply referred to as "beam".

Wikipedia

Shifted Gompertz distribution

The shifted Gompertz distribution is the distribution of the larger of two independent random variables one of which has an exponential distribution with parameter b {\displaystyle b} and the other has a Gumbel distribution with parameters η {\displaystyle \eta } and b {\displaystyle b} . In its original formulation the distribution was expressed referring to the Gompertz distribution instead of the Gumbel distribution but, since the Gompertz distribution is a reverted Gumbel distribution, the labelling can be considered as accurate. It has been used as a model of adoption of innovations. It was proposed by Bemmaor (1994). Some of its statistical properties have been studied further by Jiménez and Jodrá (2009) and Jiménez Torres (2014).

It has been used to predict the growth and decline of social networks and on-line services and shown to be superior to the Bass model and Weibull distribution (Bauckhage and Kersting 2014).