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One application of multilevel modeling (MLM) is the analysis of repeated measures data. Multilevel modeling for repeated measures data is most often discussed in the context of modeling change over time (i.e. growth curve modeling for longitudinal designs); however, it may also be used for repeated measures data in which time is not a factor.
Models can be composed of different units (models at finer granularity) linked to achieving a specific goal; for this reason they can be also called modeling solutions. More generally, modeling and simulation is a key enabler for systems engineering activities as the system representation in a computer readable (and possibly executable) model ...
1000minds is a web application for decision-making [1] [2] and conjoint analysis [3] [4] supplied by 1000minds Ltd since 2003. [5]1000minds implements the PAPRIKA method to help organizations, individuals and groups to make decisions based on considering multiple objectives or criteria (i.e. multiple-criteria decision analysis). 1000minds conjoint analysis involves surveying people about their ...
Caroline Bowen AM (born 4 December 1944) is a speech pathologist who was born in New Zealand, and who has lived and worked in Australia most of her life. She ...
Building agent-based market simulation models for price forecasting of real-world stocks and other securities Altreva; Utrecht, Netherlands Proprietary; free evaluation version available for research and experimentation (some limitations but no expiration) No programming skills required.
Model-free RL algorithms can start from a blank policy candidate and achieve superhuman performance in many complex tasks, including Atari games, StarCraft and Go.Deep neural networks are responsible for recent artificial intelligence breakthroughs, and they can be combined with RL to create superhuman agents such as Google DeepMind's AlphaGo.
For instance, the DICE, [31] PAGE, [32] and FUND [33] models have been used by the US Interagency Working Group to calculate the social cost of carbon and its results have been used for regulatory impact analysis. [34] This type of modelling is carried out to find the total cost of climate impacts, which are generally considered a negative ...
The term can be differentiated from traditional staff scheduling.Staff scheduling is rooted in time management.Besides the aspects of demand orientation, workforce modeling also incorporates the forecast of the workload and the required staff, the integration of workers into the scheduling process through interactivity, as well as analyzing the entire process.