enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Discrete-event simulation - Wikipedia

    en.wikipedia.org/wiki/Discrete-event_simulation

    A discrete-event simulation (DES) models the operation of a system as a sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. [ 1 ] Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the ...

  3. Discrete rate simulation - Wikipedia

    en.wikipedia.org/wiki/Discrete_rate_simulation

    A comparison between discrete rate, continuous, and discrete event simulation. Discrete rate simulation is similar to discrete event simulation in that both methodologies model the operation of the system as a discrete sequence of events in time. However, while discrete event simulation assumes there is no change in the system between ...

  4. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Furthermore, it covers distributions that are neither discrete nor continuous nor mixtures of the two. An example of such distributions could be a mix of discrete and continuous distributions—for example, a random variable that is 0 with probability 1/2, and takes a random value from a normal distribution with probability 1/2.

  5. Continuous or discrete variable - Wikipedia

    en.wikipedia.org/wiki/Continuous_or_discrete...

    In probability theory and statistics, the probability distribution of a mixed random variable consists of both discrete and continuous components. A mixed random variable does not have a cumulative distribution function that is discrete or everywhere-continuous. An example of a mixed type random variable is the probability of wait time in a queue.

  6. Probability distribution - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution

    A discrete probability distribution is applicable to the scenarios where the set of possible outcomes is discrete (e.g. a coin toss, a roll of a die) and the probabilities are encoded by a discrete list of the probabilities of the outcomes; in this case the discrete probability distribution is known as probability mass function.

  7. Discretization of continuous features - Wikipedia

    en.wikipedia.org/wiki/Discretization_of...

    Typically data is discretized into partitions of K equal lengths/width (equal intervals) or K% of the total data (equal frequencies). [1] Mechanisms for discretizing continuous data include Fayyad & Irani's MDL method, [2] which uses mutual information to recursively define the best bins, CAIM, CACC, Ameva, and many others [3]

  8. Cialis Side Effects: What to Expect (& How to Avoid Them) - AOL

    www.aol.com/cialis-side-effects-expect-avoid...

    No, you’re not just getting too old for this — Cialis can cause back pain too. Roughly three to six percent of men who take it develop back pain, and the discomfort tends to set in around 12 ...

  9. Dynamic discrete choice - Wikipedia

    en.wikipedia.org/wiki/Dynamic_discrete_choice

    Estimation of dynamic discrete choice models is particularly challenging, due to the fact that the researcher must solve the backwards recursion problem for each guess of the structural parameters. The most common methods used to estimate the structural parameters are maximum likelihood estimation and method of simulated moments .

  1. Related searches discrete vs continuous neither probability data collection system oldc or old

    discrete vs continuous probabilitydiscrete or continuous