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  2. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where ...

  3. High-temperature operating life - Wikipedia

    en.wikipedia.org/wiki/High-temperature_operating...

    High-temperature operating life (HTOL) is a reliability test applied to integrated circuits (ICs) to determine their intrinsic reliability. This test stresses the IC at an elevated temperature, high voltage and dynamic operation for a predefined period of time. The IC is usually monitored under stress and tested at intermediate intervals.

  4. Estimation of covariance matrices - Wikipedia

    en.wikipedia.org/wiki/Estimation_of_covariance...

    The sample covariance matrix (SCM) is an unbiased and efficient estimator of the covariance matrix if the space of covariance matrices is viewed as an extrinsic convex cone in Rp×p; however, measured using the intrinsic geometry of positive-definite matrices, the SCM is a biased and inefficient estimator. [ 1]

  5. Automotive SPICE - Wikipedia

    en.wikipedia.org/wiki/Automotive_SPICE

    Automotive SPICE is a maturity model adapted for the automotive industry. It assesses the maturity of development processes for electronic and software-based systems (e.g., ECUs). It is based on an initiative of the Special Interest Group Automotive and the Quality Management Center (QMC) in the German Association of the Automotive Industry (VDA) .

  6. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    Technique used in management and information systems. The three-point estimationtechnique is used in management and information systemsapplications for the construction of an approximate probability distributionrepresenting the outcome of future events, based on very limited information. While the distribution used for the approximation might ...

  7. Cost estimation models - Wikipedia

    en.wikipedia.org/wiki/Cost_estimation_models

    Cost estimation models. Cost estimation models are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other financial planning and tracking mechanisms.

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