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1469 | 1469 | "\n", |
1470 | 1470 | "### *A* and *B* Together\n", |
1471 | 1471 | "\n", |
1472 | | - "A similar anaylsis can be done for site B's response data to determine the analogous $p_B$. But what we are really interested in is the *difference* between $p_A$ and $p_B$. Let's infer $p_A,ドル $p_B,ドル *and* $\\text{delta} = p_A - p_B,ドル all at once. We can do this using TFP's deterministic variables. (We'll assume for this exercise that $p_B = 0.04,ドル so $\\text{delta} = 0.01,ドル $N_B = 750$ (signifcantly less than $N_A$) and we will simulate site B's data like we did for site A's data ). Our model now looks like the following:\n", |
| 1472 | + "A similar analysis can be done for site B's response data to determine the analogous $p_B$. But what we are really interested in is the *difference* between $p_A$ and $p_B$. Let's infer $p_A,ドル $p_B,ドル *and* $\\text{delta} = p_A - p_B,ドル all at once. We can do this using TFP's deterministic variables. (We'll assume for this exercise that $p_B = 0.04,ドル so $\\text{delta} = 0.01,ドル $N_B = 750$ (significantly less than $N_A$) and we will simulate site B's data like we did for site A's data ). Our model now looks like the following:\n", |
1473 | 1473 | "\n", |
1474 | 1474 | "$$\\begin{align*}\n", |
1475 | 1475 | "p_A &\\sim \\text{Uniform}[\\text{low}=0,\\text{high}=1) \\\\\n", |
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