Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: While probability distribution functions are crucial for simulating random processes, research on these functions and their features is required. However, studies have demonstrated that in ...

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 ...

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...

To calculate a probability distribution, you need data and variables from your experiment or event. Gather your data and identify the variable (s) you want to analyze. Variables could include flipping ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

Abstract: To achieve the maximum information transfer and face a possible eavesdropper, the samples transmitted in continuous-variable quantum key distribution (CV-QKD) protocols are to be drawn from ...