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

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

Board of estimate         
A board of estimate is a governing body in many counties and municipalities, particularly in the United States.
General Services Support Estimate         
The General Services Support Estimate (GSSE) is an Organisation for Economic Co-operation and Development (OECD) indicator of the annual monetary value of gross transfers of general services provided to agriculture collectively, arising from policy measures that support agriculture, regardless of their nature, objectives and impacts on farm production, income, or consumption of farm products. Examples include research and development, education, infrastructure, and marketing and promotion programs.
Nehru: A Contemporary's Estimate         
BOOK BY WALTER CROCKER
Nehru A Contemporary's Estimate
Nehru: A Contemporary's Estimate is a 1966 book written by Walter Crocker and published by Oxford University Press. It is a biography of Jawaharlal Nehru.

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).