Titlebook: Least Absolute Deviations; Theory, Applications Peter Bloomfield,William L. Steiger Book 1983 Springer Science+Business Media New York 1983

恶心

ALIAS

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大喘气

敲竹杠

LAD Spline Fitting,hoenberg (1964). Several authors have pursued these ideas [e.g. Reinsch (1967, 1971); Wahba (1976); Utreras (1981b)]. The use of splines to be described in this chapter is closely related to the robust splines described by Huber (1979). Utreras (1981a) has discussed a similar problem, also using the

情感脆弱

LAD and Linear Programming,n vectors . ∈ R., . ∈ R. and an m by n matrix A. The vector c determines a linear functional f(.) = <.,.> on R. and A and b determine m linear inequalities A. ≤ .. The LP problem in standard form is to

evaculate

变化无常

LAD Spline Fitting,ed in this chapter is closely related to the robust splines described by Huber (1979). Utreras (1981a) has discussed a similar problem, also using the term “robust splines”, though somewhat inappropriately for statisticians, since his work is centered around the use of the discrete L. norm.

Confidential

thrombus

Book 1983ast absolute deviations (LAD) seems to have been considered first. Possibly the LAD criterion was forced into the background because of the com­ putational difficulties associated with it. Recently there has been a resurgence of interest in LAD. It was spurred on by work that has resulted in efficie