Efficient experimental designs for sigmoidal growth models [PDF]
For the Weibull- and Richards-regression model robust designs are determined by maximizing a minimum of D- or D1-efficiencies, taken over a certain range of the non-linear parameters.
Dette, Holger, Pepelyshev, Andrey
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THE USE OF FUZZY LINEAR REGRESSION IN THE MODEL OF TECHNOLOGICAL KNOWLEDGE GROWTH
Финансы: теория и практика, 2017 Fuzzy linear regression is used to estimate the parameters of the Botazzi-Peri model of technological knowledge growth, while classical linear regression is used to evaluate the parameters. In this paper, the parameters are defi ned as fuzzy values. As a
E. S. Volkova, V. B. Gisin
doaj
Second Order Approximation in the Partially Linear Regression Model [PDF]
Econometrica, 1995 Summary: We examine the second order properties of various quantities of interest in the partially linear regession model. We obtain a stochastic expansion with remainder \(o_P (n^{-2 \mu})\), where \(\mu < 1/2\), for the standardized semiparametric least squares estimator, a standard error estimator, and a studentized statistic.
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Modified Thompson –Type Testimators for the Parameters of Simple Linear Regression Model
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017 Dens itiad ns vcovadoay fnre Dec2isco0D,ia asrn2trcds4 fenve ns 6ocfo ts ida%n2notd, rasr sedno6t(a asrn2trcd fnre sc2a 2cynwnvtrnco co nrs wcd2 /nt sedno6t(a fan(er wtvrcd ﯿ)ﺔ mh Dens r,ia cw asrn2trcds et/a laao vcosnyaday wcd asrn2trno ...
N. U. Abde
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MethodsXA mixed estimator nonparametric regression (MENR) model is an additive model that involves a combination of two estimators or more in multivariable nonparametric regression.
Idhia Sriliana +2 more
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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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Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables [PDF]
The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous ...
Bergtold, Jason S., Spanos, Aris
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Using the classical linear regression model in analysis of the dependences of conveyor belt life [PDF]
Acta Montanistica Slovaca, 2013 The paper deals with the classical linear regression model of the dependence of conveyor belt life on some selected parameters: thickness of paint layer, width and length of the belt, conveyor speed and quantity of transported material. The first part of
Miriam Andrejiová, Daniela Marasová
doaj
A Bayesian note on competing correlation structures in the dynamic linear regression model [PDF]
Economics
Chib, S., Osiewalski, J., Steel, M.F.J.
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Retracted: Prediction and Analysis of Housing Price Based on the Generalized Linear Regression Model. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
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