Probability Distribution Methods to Predict Stock Profits

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

Novel Methods to Construct Empirical CDF for Continuous Random Variables using Censor Data

Abstract: We deal with the problem of creating empirical CDF (ECDF) for a continuous random variable X, defined as time of an event of interest, such as failure or repair. The data sample to construct ...
Monash University

Continuous random variables

The total area under the curve must equal 1, representing the fact that the probability of some outcome occurring within the entire range is certain. \[\int_{-\infty}^{\infty}f\left(x\right)dx=1\] ...
IEEE

On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables

Abstract: In this work, we propose a unified approach to evaluating the CDF and PDF of indefinite quadratic forms in Gaussian random variables. Such a quantity appears in many applications in ...
Investopedia

Random Variable: Definition, Types, How It’s Used, and Example

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
GitHub

the-normal-cdf.py

and samples_std10), generate and plot the CDFs. Instructions -Use your ecdf() function to generate x and y values for CDFs: x_std1, y_std1, x_std3, y_std3 and x_std10, y_std10, respectively. -Plot all ...