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  2. COCOMO - Wikipedia

    en.wikipedia.org/wiki/COCOMO

    COCOMO II is the successor of COCOMO 81 and is claimed to be better suited for estimating modern software development projects; providing support for more recent software development processes and was tuned using a larger database of 161 projects. The need for the new model came as software development technology moved from mainframe and ...

  3. Cost estimation in software engineering - Wikipedia

    en.wikipedia.org/wiki/Cost_estimation_in...

    Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project.

  4. Software development effort estimation - Wikipedia

    en.wikipedia.org/wiki/Software_development...

    In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment analyses ...

  5. Construction estimating software - Wikipedia

    en.wikipedia.org/wiki/Construction_estimating...

    Construction estimating software. Construction cost estimating software is computer software designed for contractors to estimate construction costs for a specific project. A cost estimator will typically use estimating software to estimate their bid price for a project, which will ultimately become part of a resulting construction contract.

  6. Kernel regression - Wikipedia

    en.wikipedia.org/wiki/Kernel_regression

    Kernel regression. In statistics, kernel regression is a non-parametric technique to estimate the conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y . In any nonparametric regression, the conditional expectation of a variable relative to a variable may be written:

  7. Maximum a posteriori estimation - Wikipedia

    en.wikipedia.org/wiki/Maximum_a_posteriori...

    v. t. e. In Bayesian statistics, a maximum a posteriori probability ( 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 an unobserved quantity on the basis of empirical data. It is closely related to the method of maximum likelihood (ML ...

  8. The pros and cons of Medicare Advantage: Should you ... - AOL

    www.aol.com/finance/medicare-advantage-pros-cons...

    Learn how to weigh the pros and cons before you switch. ... Medicare Cost Plan Program, and Programs of All-Inclusive Care for the Elderly [PDF], Federal Register. Accessed July 22, 2024.

  9. 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.