نتایج جستجو برای: squares fit
تعداد نتایج: 139305 فیلتر نتایج به سال:
Lower bounds are typically used to evaluate the performance of heuristics for solving combinatorial minimization problems. In the absence of tight analytical lower bounds, optimal objective-function values may be estimated statistically. In this paper, extreme value theory is used to construct confidence-interval estimates of the minimum makespan achievable when scheduling nonsimilar groups of ...
The visual abstraction procedure used in previous studies of declination was tested using 12 subjects who each fit the F0 contours of 19 spoken short simple sentences with baselines. These baselines were found to be poorly replicated the fitters. An objective all-points least-squares best-fit procedure was tested on this corpus and on a set of sentences that had been produced in both spontaneou...
Robust regression is an appropriate alternative for ordinal regression when outliers exist in a given data set. If we have fuzzy observations, using ordinal regression methods can't model them; In this case, using fuzzy regression is a good method. When observations are fuzzy and there are outliers in the data sets, using robust fuzzy regression methods are appropriate alternatives....
BACKGROUND Screening for violence during pregnancy is one of the strategies for the prevention of abuse against women. Since violence is difficult to measure, it is necessary to validate questionnaires that can provide a good measure of the phenomenon. The present study analyzed the psychometric properties of the World Health Organization Violence Against Women (WHO VAW) instrument for the meas...
April 17, 2009 Version 1.4.1 Date 2008-09-29 Author Peter Frommolt Maintainer Peter Frommolt Title Inferences for biand trifactorial trial designs Depends mvtnorm,multcomp,lattice,graphics,methods Description This package makes global and multiple inferences for given biand trifactorial clinical trial designs using bootstrap methods and a classical approach. Licens...
The determination of the particle momentum in HEP tracking chambers requires a fit of a parametrization to the measured points. Various effects can result in deviations to the ideal helix curve in the magnetic field of a solenoid, and the fit with a pure helix parametrization is not optimal. One effect is multiple scattering, which causes a “random walk” of the particle and affects especially l...
channels with common frequency in white Gaussian noise is addressed. By making use of the linear prediction property, an iterative linear least squares (LLS) algorithm for accurate frequency estimation is devised. The remaining parameters are then determined according to the LLS fit with the use of the frequency estimate. It is proven that the variance of the frequency estimate achieves Cramér-...
We present a method for parametrizing heavy meson semileptonic form factors using dispersion relations, and from it produce a two-parameter description of the B → B elastic form factor. We use heavy quark symmetry to relate this function to B̄ → Dlν̄ form factors, and extract |Vcb| = 0.0355 −0.0025 from experimental data with a least squares fit. Our method eliminates model-dependent uncertaintie...
Segmentation of time-varying systems and signals into models whose parameters are piecewise constant in time is an important and well studied problem. It is here formulated as a least-squares problem with sum-ofnorms regularization over the state parameter jumps, a generalization of `1-regularization. A nice property of the suggested formulation is that it only has one tuning parameter, the reg...
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