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A pet-raising simulation (sometimes called virtual pets or digital pets [1]) is a video game that focuses on the care, raising, breeding or exhibition of simulated animals. These games are software implementations of digital pets .
Anonymity – c v is independent of the ordering of the list x. This follows from the fact that the variance and mean are independent of the ordering of x. Scale invariance: c v (x) = c v (αx) where α is a real number. [22] Population independence – If {x,x} is the list x appended to itself, then c v ({x,x}) = c v (x). This follows from the ...
The k v factor or value as it is also called is defined in VDI/VDE Richtlinien No. 2173. [5] A simplified version of the definition is: The k v factor of a valve indicates "The water flow in m 3 /h, at a pressure drop across the valve of 1 kgf/cm 2 when the valve is completely open.
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In economics, compensating variation (CV) is a measure of utility change introduced by John Hicks (1939). 'Compensating variation' refers to the amount of additional money an agent would need to reach their initial utility after a change in prices, a change in product quality, or the introduction of new products.
Virtual pet; Immersive sim; Sports game. Racing game. Sim racing; Kart racing; Sports management game; Fishing video game; Vehicle simulations. Flight simulation. Combat flight simulator; Space flight simulator. Space combat game; Space trading game; Submarine simulator; Train simulator; Vehicular combat game
Tic-tac-toe A completed game of tic-tac-toe Other names Noughts and Crosses Xs and Os Genres Paper-and-pencil game Players 2 Setup time Minimal Playing time ~1 minute Chance None Skills Strategy, tactics, observation Tic-tac-toe (American English), noughts and crosses (Commonwealth English), or Xs and Os (Canadian or Irish English) is a paper-and-pencil game for two players who take turns ...
The 5% Value at Risk of a hypothetical profit-and-loss probability density function. Value at risk (VaR) is a measure of the risk of loss of investment/capital.It estimates how much a set of investments might lose (with a given probability), given normal market conditions, in a set time period such as a day.