1 files changed, 39 insertions, 0 deletions
diff --git a/buch/papers/laguerre/scripts/estimates.py b/buch/papers/laguerre/scripts/estimates.py
new file mode 100644
index 0000000..207bbd2
--- /dev/null
+++ b/buch/papers/laguerre/scripts/estimates.py
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+if __name__ == "__main__":
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    import gamma_approx as ga
+    import targets
+
+    N = 200
+    ns = np.arange(2, 13)
+    step = 1 / (N - 1)
+    x = np.linspace(step, 1 - step, N + 1)
+
+    bests = targets.find_best_loc(N, ns=ns)
+    mean_m = np.mean(bests, -1)
+
+    intercept, bias = np.polyfit(ns, mean_m, 1)
+    fig, axs = plt.subplots(
+        2, num=1, sharex=True, clear=True, constrained_layout=True, figsize=(4.5, 3.6)
+    )
+    xl = np.array([ns[0] - 0.5, ns[-1] + 0.5])
+    axs[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$")
+    axs[0].plot(ns, mean_m, "x", label=r"$\overline{m}$")
+    axs[1].plot(
+        ns, ((intercept * ns + bias) - mean_m), "-x", label=r"$\hat{m} - \overline{m}$"
+    )
+    axs[0].set_xlim(*xl)
+    axs[0].set_xticks(ns)
+    axs[0].set_yticks(np.arange(np.floor(mean_m[0]), np.ceil(mean_m[-1]) + 0.1, 2))
+    # axs[0].set_title("Schätzung von Mittelwert")
+    # axs[1].set_title("Fehler")
+    axs[-1].set_xlabel(r"$n$")
+    for ax in axs:
+        ax.grid(1)
+        ax.legend()
+    fig.savefig(f"{ga.img_path}/estimates.pgf")
+
+    print(f"Intercept={intercept:.6g}, Bias={bias:.6g}")
+    predicts = np.ceil(intercept * ns[:, None] + bias - np.real(x))
+    print(f"Error: {np.mean(np.abs(bests - predicts))}")