Results 71 to 80 of about 430,573 (198)

Practical inference from industrial split-plot designs. [PDF]

Many industrial response surface experiments are deliberately not conducted in a completely randomized fashion. This is because some of the factors investigated in the experiment are hard to change.
Goos, Peter, Langhans, Ivan, Vandebroek, Martina   +2 more
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No penalty no tears: Least squares in high-dimensional linear models [PDF]

, 2016
Ordinary least squares (OLS) is the default method for fitting linear models, but is not applicable for problems with dimensionality larger than the sample size.
Dunson, David, Leng, Chenlei, Wang, Xiangyu   +2 more
core   +1 more source

MELE: MAXIMUM ENTROPY LEUVEN ESTIMATORS [PDF]

Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls of their own. The ridge estimator is not generally accepted as a vital alternative to the ordinary least-squares (OLS) estimator because it depends upon ...
Paris, Quirino
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Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems

Mathematics, 2019
This paper studies the parameter identification problems for multivariable output-error-like systems with colored noises. Based on the hierarchical identification principle, the original system is decomposed into several subsystems.
Hao Ma, Jian Pan, Lei Lv, Guanghui Xu, Feng Ding, Ahmed Alsaedi, Tasawar Hayat   +6 more
doaj   +1 more source

Exact optimal designs for weighted least squares analysis with correlated errors [PDF]

In the common linear and quadratic regression model with an autoregressive error structure exact D-optimal designs for weighted least squares analysis are determined.
Dette, Holger, Kunert, Joachim
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Robust Estimation of a Linearized Nonlinear Regression Model with Heteroscedastic Errors:A Simulation Study [PDF]

, 1998
A simulation study is used to examine the robustness of some estimators on a linearized nonlinear regression model with heteroscedastic errors, namely the Linearized Ordinary Least Squares (LOLS), Transformed Generalized Least Squares (TGLS ...
Midi, Habshah
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Parameter Variance of the Duncan Formula for Nonlinear Shear Strength of Coarse-Grained Soil

Applied Sciences
The reliability analysis of slope stability is significantly influenced by the variance of the soil’s shear strength. Currently, the shear strength of coarse-grained soil is commonly determined using the Duncan formula, which establishes a relationship ...
Heng Chi, Hengdong Wang, Yufeng Jia, Degao Zou   +3 more
doaj   +1 more source

A Recursive Restricted Total Least-squares Algorithm

, 2014
International audienceWe show that the generalized total least squares (GTLS) problem with a singular noise covariance matrix is equivalent to the restricted total least squares (RTLS) problem and propose a recursive method for its numerical solution ...
Gauterin, Frank, Markovsky, Ivan, Rhode, Stephan, Usevich, Konstantin   +3 more
core   +2 more sources

PROCEDURE AND ESTIMATION ALGORITHM IN MULTILEVEL MODELS FOR PROPORTIONS PROCEDIMIENTO Y ALGORITMO DE ESTIMACIÓN EN MODELOS MULTINIVEL PARA PROPORCIONES

Revista Colombiana de Estadística, 2010
This paper describes a procedure for the estimation of fixed and random parameters in multilevel model for proportions. The estimation procedure is developed using Iterative Generalized Least Squares.
Castells Ernestina, Ojeda Mario M., Montero Minerva   +2 more
doaj  

Cointegration in Fractional Systems with Deterministic Trends [PDF]

We consider a cointegrated system generated by processes that may be fractionally integrated, and by additive polynomial and generalized polynomial trends.
Fabrizio Iacone, Peter M Robinson
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