��ϰ�����ع�ģ�ͺͺ�δ֪���Ľṹ�仯ģ�����
һ���µ�ģ��\,---\,�нṹ�仯�İ�����ع�ģ��,
��������ģ�͵��йز���$\beta,\beta^\ast,\gamma,k$�ļ�Ȩ��С���˹��ƺ�$f(t)$�ĺ˹���,
֤���˲���\, $\beta,\beta^\ast,\gamma$�Ĺ��Ƶ�$\sqrt{n}$\,-�����,
ǿ�����, ������ģ�͵ļ��������,
����һ��ͨ�����ģ����֤����ģ�͵���Խ��.

Combined with semiparametric regression model
and structural change model with unknown change point, a new
regression model --- semiparametric regression model with structural
change --- has been proposed. The weighted least squares estimator
of parameter $\beta,\beta^\ast,\gamma,k$ and the kernel estimator of
$f(t)$ are given, and $\sqrt{n}$-consistency properties of
$\beta,\beta^\ast,\gamma$'s estimator is proved. Also, the
estimator's strong consistency properties and some test problem
about the model are discussed. And, at last, we give a simulation
study to verify the superiority of our new model.