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number of experimental runs to estimate the parameters with the same precision as an optimal design. In practical terms, optimal experiments can reduce the...

complex analysis, Cauchy's estimate gives local bounds for the derivatives of a holomorphic function. These bounds are optimal. Let f {\displaystyle f}...

multiplied by the optimal Kalman gain and combined with the previous state estimate to refine the state estimate. This improved estimate based on the current...

hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter...

The objective of optimal filtering is to maximise the signal-to-noise ratio at the receiver output or to produce the optimal estimate of the target signal...

curve with a bandwidth of h = 0.337 is considered to be optimally smoothed since its density estimate is close to the true density. An extreme situation is...

Optimum HDTV viewing distance is the distance that provides the viewer with the optimum immersive visual HDTV experience. HDTV is designed to provide...

the climate optimum, see Atlantic (period). The HCO was approximately 4.9 °C warmer than the Last Glacial Maximum. A study in 2020 estimated that the average...

In economics, an optimum currency area (OCA) or optimal currency region (OCR) is a geographical region in which it would maximize economic efficiency to...

Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in...

incorrect conclusions would be drawn from other tests or that sub-optimal estimates of model parameters would be obtained. The regression models to which...

of ignorance. Of course, an estimated optimum point need not be optimum in reality, because of the errors of the estimates and of the inadequacies of the...

Optimal tax theory or the theory of optimal taxation is the study of designing and implementing a tax that maximises a social welfare function subject...

an estimating function. This estimating function is often the derivative of another statistical function. For example, a maximum-likelihood estimate is...

(MAP) estimate is an estimate of an unknown quantity, that equals the mode of the posterior distribution. The MAP can be used to obtain a point estimate of...

is optimal for random samples of normally distributed data, in the sense that it minimizes the integrated mean squared error of the density estimate. This...

Basis of Estimate is a tool used in the field of project management by which members of the project team, usually estimators, project managers, or cost...

Optimal foraging theory (OFT) is a behavioral ecology model that helps predict how an animal behaves when searching for food. Although obtaining food...

experimental design is to a certain extent based on the theory for making optimal decisions under uncertainty. The aim when designing an experiment is to...

of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution or an estimate of that standard deviation....