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  2. Secretary problem - Wikipedia

    en.wikipedia.org/wiki/Secretary_problem

    Graphs of probabilities of getting the best candidate (red circles) from n applications, and k/n (blue crosses) where k is the sample size. The secretary problem demonstrates a scenario involving optimal stopping theory [1] [2] that is studied extensively in the fields of applied probability, statistics, and decision theory.

  3. Lottery (decision theory) - Wikipedia

    en.wikipedia.org/wiki/Lottery_(decision_theory)

    In expected utility theory, a lottery is a discrete distribution of probability on a set of states of nature.The elements of a lottery correspond to the probabilities that each of the states of nature will occur, (e.g. Rain: 0.70, No Rain: 0.30). [1]

  4. Bayesian inference in marketing - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference_in...

    Bayes methods are more cost-effective than the traditional frequentist take on marketing research and subsequent decision making. The probability can be assessed from a degree of belief before and after accounting for evidence, instead of calculating the probabilities of a certain decision by carrying out a large number of trials with each one ...

  5. P300 (neuroscience) - Wikipedia

    en.wikipedia.org/wiki/P300_(neuroscience)

    The P300 (P3) wave is an event-related potential (ERP) component elicited in the process of decision making. It is considered to be an endogenous potential, as its occurrence links not to the physical attributes of a stimulus, but to a person's reaction to it. More specifically, the P300 is thought to reflect processes involved in stimulus ...

  6. Event-related potential - Wikipedia

    en.wikipedia.org/wiki/Event-related_potential

    A waveform showing several ERP components, including the N100 (labeled N1) and P300 (labeled P3). The ERP is plotted with negative voltages upward, a common, but not universal, practice in ERP research. An event-related potential (ERP) is the measured brain response that is the direct result of a specific sensory, cognitive, or motor event. [1]

  7. Multiple-criteria decision analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple-criteria_decision...

    In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

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