WTTE-RNN a framework for churn and time to event prediction

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

Weibull Analysis Tools

An open-source and easy-to-use software for the comprehensive analysis of grain-size distributions

"Pop-in" Analysis From Indentation Tests

Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.

This project focuces on analysis of survival patients with Aids, with Python library Lifelines

Fréchet distribution cumulative distribution function (CDF).

Fréchet distribution.

Fréchet distribution median.

Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.

Weibull distribution quantile function.

Weibull distribution cumulative distribution function (CDF).

Fréchet distribution kurtosis.

Weibull distribution variance.

Fréchet distribution variance.

Weibull distribution excess kurtosis.

Fréchet distribution mode.

Weibull distribution moment-generating function (MGF).

Weibull distributed pseudorandom numbers.

Fréchet distribution quantile function.

Create an iterator for generating pseudorandom numbers drawn from a Weibull distribution.

Weibull distribution mode.

Fréchet distribution skewness.

Fréchet distribution constructor.

No description provided.

Weibull distribution.

Weibull distribution skewness.

Fréchet distribution logarithm of cumulative distribution function (CDF).