Results 21 to 30 of about 116,475 (314)

Investigating the Relationship between CEO Power and Capital Structure: Emphasizing the Role of Firms Size [PDF]

open access: yesتحقیقات مالی, 2021
Objective: The main purpose of this study is to investigate the relationship between CEO power and capital structure decisions with an emphasis on the moderating role of firms size in listed companies in Tehran Stock Exchange.
Shokrollah Khajavi   +2 more
doaj   +1 more source

Bias of LS estimators in nonlinear regression models with constraints. Part I: General Case [PDF]

open access: yesApplications of Mathematics, 1999
An asymptotic approximation of the bias of least squares estimators in nonlinear regression models with parameters which are subject to nonlinear equality constraints is derived. The normality of the observation vector is assumed, however under some conditions the results are valid for non-normal distribution as well.
Pázman, A., Denis, J.B.
openaire   +3 more sources

A Nonlinear Method for Component Separation of Dam Effect Quantities Using Kernel Partial Least Squares and Pseudosamples

open access: yesAdvances in Civil Engineering, 2019
Existing component separation methods fail to consider the complex nonlinear relationship between dam effect quantities and environmental variables. In this study, a novel nonlinear component separation method for the effect quantities is proposed by ...
Wenzhong Yin   +4 more
doaj   +1 more source

Nonlinear regression models with general distortion measurement errors

open access: yesJournal of Statistical Computation and Simulation, 2019
This paper considers nonlinear regression models when neither the response variable nor the covariates can be directly observed, but are measured with both multiplicative and additive distortion measurement errors. We propose conditional variance and conditional mean calibration estimation methods for the unobserved variables, then a nonlinear least ...
Jun Zhang, Bingqing Lin, Gaorong Li
openaire   +1 more source

An R library for nonlinear black-box system identification

open access: yesSoftwareX, 2020
The Nonlinear AutoRegressive with eXogenous inputs (NARMAX) models are among the most general classes of mathematical abstractions for dynamic systems and has many successful applications os data-driven modeling in different fields.
Helon Vicente Hultmann Ayala   +2 more
doaj   +1 more source

Analyzing the Time Course of Pupillometric Data

open access: yesTrends in Hearing, 2019
This article provides a tutorial for analyzing pupillometric data. Pupil dilation has become increasingly popular in psychological and psycholinguistic research as a measure to trace language processing.
Jacolien van Rij   +4 more
doaj   +1 more source

Nonlinear Intelligent Control of Two Link Robot Arm by Considering Human Voluntary Components

open access: yesSensors, 2022
This paper proposes a nonlinear intelligent control of a two link robot arm by considering human voluntary components. In general, human arm viscoelastic properties are regulated in different manners according to various task requirements.
Mingcong Deng   +2 more
doaj   +1 more source

Higher Order Mean Squared Error of Generalized Method of Moments Estimators for Nonlinear Models

open access: yesDiscrete Dynamics in Nature and Society, 2014
Generalized method of moments (GMM) has been widely applied for estimation of nonlinear models in economics and finance. Although generalized method of moments has good asymptotic properties under fairly moderate regularity conditions, its finite sample ...
Yi Hu   +3 more
doaj   +1 more source

Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning

open access: yesSensors, 2023
Due to the highly nonlinear, multi-stage, and time-varying characteristics of the marine lysozyme fermentation process, the global soft sensor models established using traditional single modeling methods cannot describe the dynamic characteristics of the
Na Lu, Bo Wang, Xianglin Zhu
doaj   +1 more source

Boosted Beta regression. [PDF]

open access: yes, 2013
Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale.
Andreas Mayr (406146)   +18 more
core   +1 more source

Home - About - Disclaimer - Privacy