拟合,Pareto-Levy稳定分布和hist()函数

时间:2018-04-09 19:18:15

标签: r data-fitting

我试图证明我的log_returns发行版Drop down view, image dispared on item selected已正确安装了Pareto-Levy Stable Distribution。我开始使用class SpinnerAllowanceAdapter extends ArrayAdapter<String> { SpinnerAllowanceAdapter(@NonNull Context context, int resource, int textViewResourceId, @NonNull String[] objects) { super(context, resource, textViewResourceId, objects); } @Override public boolean isEnabled(int position) { return position != 0; } @Override public View getDropDownView(int position, View convertView, ViewGroup parent) { View view = super.getDropDownView(position, convertView, parent); TextView tv = view.findViewById(R.id.tv_allowance); ImageView iv = view.findViewById(R.id.imageView_allowance); if (position == 0) { // Set the hint text color gray tv.setTextColor(Color.GRAY); } else { iv.setVisibility(View.VISIBLE); tv.setTextColor(Color.BLACK); iv.setImageResource(getAllowanceIcon(position)); } return view; } private int getAllowanceIcon(int position){ int drawableId; //image selection return drawableId; } } 使用MASS估算我的参数:

fitdistr(log_returnsSP500,"normal")

然后,我用这种方式估算稳定的分布参数:

   mean            sd     

 0.0002738807   0.0113987124 
(0.0001835401) (0.0001297825)

现在,我想验证在我的直方图上叠加密度函数的接近程度。肯定会导致帕累托稳定分布比正常情况好得多,但我不知道如何证明它。有人可以帮我代码吗?感谢。

0 个答案:

没有答案