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The adaptive market hypothesis, as proposed by Andrew Lo, [1] is an attempt to reconcile economic theories based on the efficient market hypothesis (which implies that markets are efficient) with behavioral economics, by applying the principles of evolution to financial interactions: competition, adaptation, and natural selection. [2]
An adaptive leader makes decisions to perform a specific action to better fit the organization and help it become productive. [36] By a leader displaying adaptive performance when making a decision, the team leader shows their awareness of a situation leading to new actions and strategies to reestablish fit and effectiveness. [28]
Schwartz and his colleagues suggest two possible trajectories to adaptive expertise 1) innovate and then become efficient or 2) become efficient and then practice innovating. [4] In several studies of instructional interventions, [9] [10] they have demonstrated that trajectory 1, innovation to efficiency, is the better developmental path. Based ...
The concept of Adaptive Investment Approach [1] (AIA), first proposed by Ma (2010, 2013, 2015), is the name given to the investment strategies that under which investors can constantly adjust their investments to reflect market conditions such as the volatility of investments, the return or the current condition of the market (Bull or Bear ...
The three-stream adaptive cycle design can direct air to the bypass third stream for increased fuel efficiency and cooling or to the core and fan streams for additional thrust and performance. The 45,000 lbf (200 kN) thrust class engine is expected to be significantly more powerful and efficient than existing low-bypass turbofans.
Majumdar, D. "Optimal and Efficient Treatment-Control Designs". Design and Analysis of Experiments. Handbook of Statistics. pp. 1007–1054. Stufken, J. "Optimal Crossover Designs". Design and Analysis of Experiments. Handbook of Statistics. pp. 63–90. Zacks, S. "Adaptive Designs for Parametric Models". Design and Analysis of Experiments ...
Adaptive management, also known as adaptive resource management or adaptive environmental assessment and management, is a structured, iterative process of robust decision making in the face of uncertainty, with an aim to reducing uncertainty over time via system monitoring.
In the life sciences the term adaptability is used variously. At one end of the spectrum, the ordinary meaning of the word suffices for understanding. At the other end, there is the term as introduced by Conrad, [3] referring to a particular information entropy measure of the biota of an ecosystem, or of any subsystem of the biota, such as a population of a single species, a single individual ...