corrected some pages

Several small mistakes/errors were corrected in several proofs/definitions.

Author: JoramSoch

P/betabin-mome.md

@@ -36,7 +36,7 @@ username: "JoramSoch"
 **Theorem:** Let $y = \left\lbrace y_1, \ldots, y_N \right\rbrace$ be a set of observed counts independent and identically distributed according to a [beta-binomial distribution](/D/betabin) with number of trials $n$ as well as parameters $\alpha$ and $\beta$:
 
 $$ \label{eq:binbeta}
-y_i \sim \mathrm{BinBet}(n, \alpha, \beta), \quad i = 1, \ldots, N \; .
+y_i \sim \mathrm{BetBin}(n, \alpha, \beta), \quad i = 1, \ldots, N \; .
 $$
 
 Then, the [method-of-moments estimates](/D/mome) for the parameters $\alpha$ and $\beta$ are given by

P/bin-margcond.md

@@ -91,7 +91,7 @@ $$ \label{eq:bin-th}
 (x+y)^n = \sum_{k=0}^{n} {n \choose k} \, x^{n-k} \, y^k \; ,
 $$
 
-the sum is equal to
+the sum in equation \eqref{eq:Y-dist-s6} is equal to
 
 $$ \label{eq:Y-dist-sum}
 \sum_{i=0}^{n-m} {n-m \choose i} \, \left( p - pq \right)^{i} \, (1-p)^{n-m-i} = \left( (p-pq)+(1-p) \right)^{n-m} \; .