Hi there! Please help me to solve the next problem

Imagine there is a continuous distribution D, and we need to evaluate its parameters (most probably it's left-skewed). What we know is that the range of random variable = [0,n].

We can take a sample A of limited size m, which obeys distribution D, and repeat the next procedure: for each element Ai from A you can choose a number Bi, and know, if Ai is larger then Bi or not. Looks like this:

for example n = 1000, m = 100

1. A1 = 156, but we don't know this

I chose B1 to be 500.

Output:

2. A2 = 678

I choose B2 to be 235

Output:

...

100. A100 = 823

I choose B100 to be 647

Output:

Imagine there is a continuous distribution D, and we need to evaluate its parameters (most probably it's left-skewed). What we know is that the range of random variable = [0,n].

We can take a sample A of limited size m, which obeys distribution D, and repeat the next procedure: for each element Ai from A you can choose a number Bi, and know, if Ai is larger then Bi or not. Looks like this:

for example n = 1000, m = 100

1. A1 = 156, but we don't know this

I chose B1 to be 500.

Output:

**A1<500**2. A2 = 678

I choose B2 to be 235

Output:

**A2>235**...

100. A100 = 823

I choose B100 to be 647

Output:

**A100>647****I need to come up with an algorithm of evaluating distribution D**
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