Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Modeling and visualization of bound-state hydrogen eigenfunctions and electron probability densities. Python 3.12.11 Matplotlib 3.10.6 Seaborn 0.13.2 NumPy 2.3.2 SciPy 1.16.1 Quantum mechanics (QM) is ...
Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...
New York-headquartered cloud networking-focus broadcast technology company swXtch.io has amplified its support for SRT workflows with a new specialized gateway product primarily targeted at the live ...
Right now, bayesplot offers various functions for posterior predictive check such as ppc_dens, ppc_hist, ppc_freqpoly, ppc_boxplot, and a couple of others. One of the plots that bayesplot currently ...
Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...
Abstract: When a dataset from a non-negative random variable contains zero or very small observations, the folded-normal distribution (FND) can be an appropriate model for fitting the data. Such data ...
Using the Weibull distribution to model gold wire bonding on ENEPIG. The most used distribution in reliability analysis may be the Weibull distribution. Its genesis can be traced back to Waloddi ...
1 Guangzhou Power Supply Co. Ltd., China Southern Power Grid, Guangzhou, China 2 School of Electric Power Engineering, South China University of Technology, Guangzhou, China This paper proposes an ...
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