How Do You Convert Between HT(t), FT(t), and fT(t) in Probability Calculations?

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In summary, the conversation discusses the use of the hazard function in survival analysis and its relationship with the density and cumulative distribution functions. The hazard function can be obtained from the density function by taking the derivative of the cumulative distribution function, or by solving a first-order differential equation. The conversation also includes an example of finding the hazard function for a uniform distribution and discusses the use of the hazard function in different time intervals.
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Homework Statement



Looking for a step by step online guide/tutorial/worked example showing equations for getting to the hazard function from the density function, the cumulative distribution function from the hazard function, and vice versa

Homework Equations



HT(t) = hazard function
FT(t) = Cumulative distribution function
fT(t) = Density function

The Attempt at a Solution

 
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  • #2
Distribution function and density function I know but I had to look up "Hazard function".
According to Wikipedia,
http://en.wikipedia.org/wiki/Survival_analysis
If we have the cumulative distribution function, [/itex]F(t)= Pr(T\le t)[/itex], we define S(t)= 1- T(t). Then the Hazard function, [itex]\lambda(t)[/itex], is given by
[tex]\lambda = -\frac{S'(t)}{S(t)}[/tex]
Directly in terms of F, then, since S'(t)= (1- F(t))'= -F'(t),
[tex]\lambda = \frac{F'(t)}{1- F(t)}[/tex]

If f(t) is the density function, f(t)= F'(t), then
[tex]\lambda = \frac{f(t)}{1- F(t)} [/tex]

Alternatively, we can define the "cumulative hazard function", [itex]\Lambda(t)= -log(1- F(t))[/itex] and then the hazard function is the derivative: [itex]\lambda(t)= d \Lambda(t)/dt[/itex]
In any case, finding [itex]\lambda[/itex] involves solving a first order differential equation.

To take a simple example, the uniform distribution from 0 to 1, the density function is a constant, f(x)= 1, so F(x)= [itex]\int_0^t 1 dx= t[/itex] and the hazard function is given by [itex]\lambda(t)= f(t)/(1- F(t))= 1/(1- t)[/itex]. Alternatively, the cumulative hazard function is [itex]\Lamba(t)= -log(F(t))= -log(1-t)[/itex] and the hazard function is the derivative of that: [itex]\lambda(t)= d(-log(1-t))/dt= 1/(1-t)[/itex].

Going the other way, if we were given [itex]\lambda(t)= 1/(1- t)[/itex], then [itex]\lambda(t)= F'/(1- F)= 1/(1- t)[/itex] so finding [itex]\lambda(t)[/itex] requires solving a differential equation: [itex]F'= \lambda(t)(1- F)= (1- F)/(1- t)[/itex]. That's a "separable" differential equation: dF/(1- F)= dt/(1-t) . Integrating, log(1- F(t))= log(1- t)+ C1 so 1- F(t)= C2(1- t). In order that F(0)= 0, we must have C2= 1 so 1- F(t)= 1- t and F(t)= t as before.
 
  • #3
thanks for the link, I am wondering at what stage we use the hazard function, I understand the p.d.f is used for a moment in time, while the c.d.f is used for a time period i.e 0< = T, at what stage do we need the hazard function?
 

FAQ: How Do You Convert Between HT(t), FT(t), and fT(t) in Probability Calculations?

What is the purpose of "Unraveling FT, HT & fT: A Step-by-Step Guide"?

The purpose of this guide is to provide a comprehensive and detailed explanation of the concepts of Fourier Transform (FT), Hilbert Transform (HT), and fractional Fourier Transform (fT). It aims to help readers understand the principles and applications of these mathematical tools in signal processing, image analysis, and other fields of science and engineering.

Who can benefit from this guide?

This guide is designed for anyone who is interested in learning about FT, HT, and fT. It can be useful for students, researchers, and professionals in the fields of mathematics, physics, engineering, and computer science.

What is the level of difficulty of this guide?

This guide is written in a step-by-step manner and assumes some basic knowledge of mathematics and signal processing. However, it also includes explanations and examples to make the concepts understandable for beginners. The difficulty level can be adjusted by skipping or focusing on certain sections.

Are there any practical applications of FT, HT, and fT?

Yes, these mathematical tools have various practical applications in fields like signal and image processing, data compression, communications, and quantum mechanics. They are used to analyze and manipulate signals and images in both time and frequency domains, and to extract useful information from complex data.

Are there any recommended resources for further learning about FT, HT, and fT?

Yes, this guide includes a list of references for readers who want to delve deeper into the topics. There are also many books and online resources available that cover FT, HT, and fT in more detail and provide practical examples and applications.

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