二类跳跃回归函数的强相合估计

STRONG CONSISTENT ESTIMATES OF TWO KINDS OF JUMP REGRESSIVE FUNCTION

  • 摘要: 本文将研究二类跳跃回归函数的估计问题。对于跳跃点个数已知、跳跃点位置未知、跃度已知或未知这二类跳跃回归函数,本文提出了核差估计的思想,并在较弱的条件下证明了该估计是a.s.和L2相合的。本文的核差估计适合于多个跳跃点存在的情形,它与已有的跳跃回归函数的一些估计方法相比,具有思想直观、统计性质好、估计方法灵活等特点。

     

    Abstract: This paper will research the estimate problem of two kinds of jump regressive function, which number of jumps is known, the jump locations are unknown and the jump magnitudes are known or unknown. The author puts forwards an idea of difference kernel estimate and demonstrates that it is a.s. and L2 consistent under some mild conditions. This estimate can be used in the case when there are many jumps. It has the character of direct form, good properties and flexibility in comparison with other estimate methods.

     

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