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SMART criteria. S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
Auto rickshaw in Sri Lanka. An auto rickshaw is a motorized version of the pulled rickshaw or cycle rickshaw.Most have three wheels and do not tilt. They are known by many terms in various countries including auto, auto rickshaw, baby taxi, mototaxi, pigeon, jonnybee, bajaj, chand gari, lapa, tuk-tuk, tum-tum, Keke-napep, Maruwa, Adaidaita Sahu, 3wheel, pragya, bao-bao, easy bike, and tukxi.
In elementary algebra, completing the square is a technique for converting a quadratic polynomial of the form. to the form for some values of h and k . In other words, completing the square places a perfect square trinomial inside of a quadratic expression. Completing the square is used in. finding Laplace transforms.
The likelihood-ratio test, also known as Wilks test, [2] is the oldest of the three classical approaches to hypothesis testing, together with the Lagrange multiplier test and the Wald test. [3] In fact, the latter two can be conceptualized as approximations to the likelihood-ratio test, and are asymptotically equivalent.
e. Bayes consistent loss functions: Zero-one loss (gray), Savage loss (green), Logistic loss (orange), Exponential loss (purple), Tangent loss (brown), Square loss (blue) In machine learning and mathematical optimization, loss functions for classification are computationally feasible loss functions representing the price paid for inaccuracy of ...
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In probability and statistics, the log-logistic distribution (known as the Fisk distribution in economics) is a continuous probability distribution for a non-negative random variable. It is used in survival analysis as a parametric model for events whose rate increases initially and decreases later, as, for example, mortality rate from cancer ...
Partial least squares path modeling. The partial least squares path modeling or partial least squares structural equation modeling ( PLS-PM, PLS-SEM) [1] [2] [3] is a method for structural equation modeling that allows estimation of complex cause-effect relationships in path models with latent variables .