Advanced industries such as wind turbines aim for condition-based maintenance (CBM) to enhance system availability and reach higher revenue. Hence, decision making plays an essential role in ...

The Maxwell–Boltzmann distribution describes the probability distribution of molecular speeds in a sample of an ideal gas. Introduced over 150 years ago, it is based on the work of Scottish physicist ...

Capricor Therapeutics's dip caused by the CRL is a buying opportunity considering the readout of HOPE-3 within 2-3 months. See why CAPR stock is a Buy.

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

Meanwhile, the two cumulative probability distribution functions remain entangled, each stabilizing at ½ (“wave modality”). The LPE unifies principles of classical and quantum physics through a ...

Expressing the probability distribution of the compressive strength of concrete through Weibull distribution functions fails to account for its size dependence, while normal and lognormal ...

Using spin-1/2 state (qubit state) description by the conditional probability distributions of dichotomic random variables, we construct the irreducible Lie su (2) algebra representations by means of ...

In this paper, we propose a model of a parameter estimator filter for Black Box-type Stochastic Systems (BBSS), that is, only its inputs and outputs are known; considering its intrinsic properties ...

Log cumulative distribution function (wald_lcdf) Log complementary cumulative distribution function (wald_lccdf) Random deviate generator (wald_rng) These functions can be incorporated into any Stan ...

Key Points NORMSINV is an Excel function used along with normal distributions. It allows you to conduct calculations faster and with more precision than by doing them by hand. Further, you can use ...

AGED is a new contribution to the field of statistical theory, offering more flexible probability density functions, cumulative distribution functions, and hazard functions than the base distribution.

To achieve this, we leverage the probability distribution functions associated with the generalized gamma Mittag–Leffler distribution as our delay kernels.