User:Krauss/digito

Art. 2007-027
 * eqn0: $$h_p^2 $$
 * eqn1: $$N(0, \sigma_w^2)$$
 * eqn2: $$\sigma_w^2$$
 * eqn3: $$\sigma_G^2$$
 * eqn4: $$\sigma_G^2 = \sigma_A^2 + \sigma_D^2$$
 * eqn5: $$\sigma_A^2$$
 * eqn6: $$\sigma_A^2 = \sum_{l=1}^{20} a_l^2 / 2$$
 * eqn7: $$\sigma_A^2 = L/2$$
 * eqn8: $$\sigma_D^2$$
 * eqn9: $$\sigma_D^2 = 0$$
 * eqn10: $$h_F{_2} ^2$$
 * eqn11: $$e \sim N(0, \sigma _e^2)$$
 * eqn12: $$\sigma _e^2$$
 * eqn13: $$\sigma _w^2 / \sigma _e^2$$
 * eqn14: $$\sigma_p^2$$
 * eqn15: $$(\sigma_p^2 = 7/4 \sigma_A^2)$$
 * eqn16: $$\sigma_d^2$$
 * eqn17: $$(\sigma_D^2 = \sigma_{Gd}^2 + \sigma_w^2)$$
 * eqn18: $$\sigma_{Gd}^2$$
 * eqn19: $$\sigma_{Gd}^2 = 1/8 \sigma_A^2$$
 * eqn20: $$(h_F{_2} ^2)$$
 * eqn21: $$\textrm {\textbf{y}} + \textrm {\textbf{X}} \beta + \textrm {\textbf{Za}} + \textrm {\textbf{e}}$$
 * eqn22: $$a \sim N(0, G)$$
 * eqn23: $$G = A \sigma_a^2$$
 * eqn24: $$e \sim N(0, R)$$
 * eqn25: $$R = I \sigma_e^2$$
 * eqn26: $$I \sigma_p^2$$
 * eqn27: $$\sigma_a^2$$
 * eqn28: $$(\sigma_p^2)$$
 * eqn29: $$\textrm {\textbf{A}}\sigma_A^2$$
 * eqn30: $$(\sigma_A^2)$$
 * eqn31: $$\otimes$$
 * eqn32: $${\hat{\textbf{a}}}$$
 * eqn33: $$(\hat{\beta})$$
 * eqn34: $$h_p^2 \geq 50\%$$
 * eqn35: $$\sqrt {h_p^2}$$
 * eqn36: $$(\sqrt {h_p^2})$$
 * eqn37: $$\hat{h_p^2}$$
 * eqn38: $$\hat{\sigma_p^2}$$
 * eqn39: $$\left[ E\textrm(\textbf{a}) = 0 \right]$$
 * eqn40: $$E (\hat{\textbf{a}}) = E({\textbf{a}})$$
 * eqn41: $$\hat{\textbf{a}}$$
 * eqn42: $$\left[ E \hat{\textrm(\textbf{a})} = \textrm(\textbf{a}) \right]$$
 * eqn43: $$h_p^2 \to 100\%$$
 * eqn44: $$\hat{\textbf{a}}=E(\textbf{a/y}) \to \textbf{a}$$
 * eqn45: $$h_p^2 \to 0$$
 * eqn46: $$\hat{\textbf{a}}=E(\textbf{a/y}) \to 0$$