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corrected some pages
Several small mistakes/errors were corrected in several proofs/definitions.
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D/pgf.md

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@@ -29,18 +29,18 @@ username: "JoramSoch"
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**Definition:**
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1) If $X$ is a discrete [random variable](/D/rvar) taking values in the non-negative integers $\left\lbrace 0, 1, \ldots \right\rbrace$, then the probability-generating function of $X$ is defined as
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1) If $X$ is a [discrete](/D/rvar-disc) [random variable](/D/rvar) taking values in the non-negative integers $\left\lbrace 0, 1, \ldots \right\rbrace$, then the probability-generating function of $X$ is defined as
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$$ \label{eq:pgf-var}
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G_X(z) = \mathrm{E} \left[ z^X \right] = \sum_{x=0}^{\infty} p(x) \, z^x
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G_X(z) = \sum_{x=0}^{\infty} p(x) \, z^x
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$$
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where $z \in \mathbb{C}$ and $p(x)$ is the [probability mass function](/D/pmf) of $X$.
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2) If $X$ is a discrete [random vector](/D/rvec) taking values in the $n$-dimensional integer lattice $x \in \left\lbrace 0, 1, \ldots \right\rbrace^n$, then the probability-generating function of $X$ is defined as
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2) If $X$ is a [discrete](/D/rvar-disc) [random vector](/D/rvec) taking values in the $n$-dimensional integer lattice $x \in \left\lbrace 0, 1, \ldots \right\rbrace^n$, then the probability-generating function of $X$ is defined as
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$$ \label{eq:cgf-vec}
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G_X(z) = \mathrm{E} \left[ {z_1}^{X_1} \cdot \ldots \cdot {z_n}^{X_n} \right] = \sum_{x_1=0}^{\infty} \cdots \sum_{x_n=0}^{\infty} p(x_1,\ldots,x_n) \, {z_1}^{x_1} \cdot \ldots \cdot {z_n}^{x_n}
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G_X(z) = \sum_{x_1=0}^{\infty} \cdots \sum_{x_n=0}^{\infty} p(x_1,\ldots,x_n) \, {z_1}^{x_1} \cdot \ldots \cdot {z_n}^{x_n}
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$$
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where $z \in \mathbb{C}^n$ and $p(x)$ is the [probability mass function](/D/pmf) of $X$.

P/mean-prodsqr.md

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@@ -11,7 +11,7 @@ title: "Square of expectation of product is less than or equal to product of exp
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chapter: "General Theorems"
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section: "Probability theory"
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topic: "Expected value"
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theorem: "Squared expectation of product"
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theorem: "Squared expectation of a product"
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sources:
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- authors: "ProofWiki"

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