Timeline for What is a complementary binomial distribution function $\Phi[a; n,p]$?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Dec 14, 2019 at 20:29 | vote | accept | Chetan | ||
| Dec 14, 2019 at 13:24 | comment | added | Chetan | Hi, "Φ(a;n,p) is the probability that the binomial random variable takes a value in the range a,a+1,…n", it means it's complementary probability distribution function as per the MatLab site you posted right? | |
| Dec 14, 2019 at 13:17 | comment | added | Carlo Beenakker | 2) the cited paper contains two instances of $\Phi$, one instance with probability $p$ (which is the formula I wrote down), and one instance with a different probability $p'=(u/r)p$; then $1-p'=(d/r)(1-p)$ for $d=(r-pu)/(1-p)$. | |
| Dec 14, 2019 at 13:15 | comment | added | Carlo Beenakker | 1) $\Phi(a;n,p)$ is the probability that the binomial random variable takes a value in the range $a,a+1,\ldots n$. | |
| Dec 14, 2019 at 12:38 | comment | added | Chetan | p′ = (u/r)p and 1 – p′ = (d/r)(1 – p) | |
| Dec 14, 2019 at 12:32 | comment | added | Chetan | Hi, thanks for the answer. I will checked it, but it contains same step like the paper I mentioned and I am trying to understand that only. What exactly is complementary binomial distribution function and how this is derived: | |
| Dec 14, 2019 at 12:26 | history | edited | Carlo Beenakker | CC BY-SA 4.0 |
added 259 characters in body
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| Dec 14, 2019 at 12:19 | history | answered | Carlo Beenakker | CC BY-SA 4.0 |