Guest User

Untitled

a guest
Aug 21st, 2018
101
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 1.47 KB | None | 0 0
  1. documentclass[a4paper,12pt]{scrartcl}
  2. usepackage[ngerman]{babel}
  3. usepackage{amsthm}
  4. usepackage{mathtools}
  5. usepackage{aligned-overset}
  6.  
  7. newcommand{Lagr}{mathcal{L}}
  8. newcommand{matr}[1]{mathbf{#1}}
  9. newcommand{X}{matr{X}} %Matrix von X
  10. newcommand{y}{matr{y}} %y als voller Vektor
  11. newcommand{yct}{ubar{y}^mathbf{T}} %Zentriert
  12. newcommand{betahat}{hat{beta}} %betahat
  13.  
  14. begin{document}
  15. begin{flalign*}
  16. Lagr(beta_{0},beta) &=minlimits_{beta_{0}, beta} left{ frac{1}{2} sum_{i=1}^Nleft(y_{i}-beta_{0} - sum_{j=1}^pbeta_{j}tilde{x}_{ij}right)^2 +lambdasum_{j=1}^pleft|beta_{j}right| right} &\
  17. &= minlimits_{beta_{0}, beta} left{ frac{1}{2} sum_{i=1}^Nleft(y_{i}-beta_{0} - sum_{j=1}^pbeta_{j}(x_{ij}-bar{x}_{j})right)^2 +lambdasum_{j=1}^pleft|beta_{j}right| right} &
  18. end{flalign*}
  19. vspace*{-1cm}
  20. begin{flalign*}
  21. &frac{partial Lagr}{partial beta_{0}} overset{!}{=}0 \
  22. &-sum_{i=1}^Nleft(y_{i}-betahat_{0} - sum_{j=1}^pbetahat_{j}(x_{ij}-bar{x}_{j})right) = 0 \
  23. & -sum_{i=1}^{N}y_i + N betahat_{0}+sum_{i=1}^Nleft(sum_{j=1}^pbetahat_{j}x_{ij}right) - Nsum_{j=1}^{p}betahat_{j}bar{x}_{j} =0 \
  24. & -frac{1}{N}sum_{i=1}^{N}y_i +betahat_{0}+ sum_{j=1}^pleft(betahat_{j}frac{1}{N}sum_{i=1}^N x_{ij} right) - sum_{j=1}^pbetahat_{j}bar{x}_{j}=0 \
  25. & -bar{y}+betahat_{0}+sum_{j=1}^pbetahat_{j}bar{x}_{j}-sum_{j=1}^pbetahat_{j}bar{x}_{j}=0\
  26. & betahat_{0} =bar{y}\
  27. intertext{textnormal{Aus der Annahme, dass $y$ zentriert ist $frac{1}{N}sum_{i=1}^{N}tilde{y}_{i}=0$, folgt}}
  28. &betahat_{0}=0 &
  29. end{flalign*}
  30. end{document}
Add Comment
Please, Sign In to add comment