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Everything about Renewal Process totally explained

Renewal theory is the branch of probability theory that generalizes Poisson processes for arbitrary holding times. Applications include calculating the expected time for a monkey who is randomly tapping at a keyboard to type the word Macbeth and comparing the long-term benefits of different insurance policies.

Renewal processes

Introduction

A renewal process is a generalisation of the Poisson process. In essence, the Poisson process is a continuous-time Markov process on the positive integers (usually starting at zero) which has independent identically distributed holding times at each integer i (exponentially distributed) before advancing (with probability 1) to the next integer:i+1. In the same informal spirit, we may define a renewal process to be the same thing, except that the holding times take on a more general distribution. (Note however that the IID property of the holding times is retained).

Formal definition

Let S_1, S_2, S_3, S_4, S_5, ldots be a sequence of independent identically distributed random variables such that » 0 < mathbb, this implies that the turning points satisfy:
»

0 = (4t - t^2)(1200) - (4 - 2t)(1200t + 200) = 4800t - 1200t^2 -4800t - 800 + 2400t^2 + 400t » :

-800 + 400t + 1200t^2, and thus »

0

3t^2 + t - 2 = (3t -2)(t+1). We take the only solution t in [0, 2]: t = 2/3. This is indeed a minimum (and not a maximum) since the cost per unit time tends to infinity as t tends to zero, meaning that the cost is decreasing as t increases, until the point 2/3 where it starts to increase.

Further Information

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