Results 41 to 50 of about 2,019,213 (203)

Prediction of treatments effects in a biased allocation model

Revstat Statistical Journal, 2005
Robbins and Zhang [15] provide consistent estimators of multiplicative treatment effects under a biased treatment allocation scheme, and illustrate their methodology within Poisson and binomial models.
Fernando J.M. Magalhães
doaj   +1 more source

Statistical Modeling of Implicit Functional Relations

Stats, 2023
This study considers the statistical estimation of relations presented by implicit functions. Such structures define mutual interconnections of variables rather than outcome variable dependence by predictor variables considered in regular regression ...
Stan Lipovetsky
doaj   +1 more source

Statistical Inference for the Heteroscedastic Partially Linear Varying-Coefficient Errors-in-Variables Model with Missing Censoring Indicators

Discrete Dynamics in Nature and Society, 2021
In this paper, we focus on heteroscedastic partially linear varying-coefficient errors-in-variables models under right-censored data with censoring indicators missing at random.
Yuye Zou, Chengxin Wu
doaj   +1 more source

Nonparametric identification of the classical errors-in-variables model without side information [PDF]

, 2007
This note establishes that the fully nonparametric classical errors-in-variables model is identifiable from data on the regressor and the dependent variable alone, unless the specification is a member of a very specific parametric family.
Hu, Yingyao, Lewbel, Arthur, Schennach, Susanne M.   +2 more
core   +2 more sources

Algorithms and statistical analysis for linear structured weighted total least squares problem

Geodesy and Geodynamics
Weighted total least squares (WTLS) have been regarded as the standard tool for the errors-in-variables (EIV) model in which all the elements in the observation vector and the coefficient matrix are contaminated with random errors.
Jian Xie, Tianwei Qiu, Cui Zhou, Dongfang Lin, Sichun Long   +4 more
doaj   +1 more source

Exploring Heterogeneity in Car-Following Behaviors Based on Driver Visual Characteristics: Modeling and Calibration

Journal of Advanced Transportation, 2023
To investigate the heterogeneity of car-following behaviors across different vehicle combinations from the perspective of driver visual characteristics, the NGSIM dataset from I-80 and US-101 highways was selected and distinct car-following segments were
Congcong Bai, Jun Jing, Bokun Liu, Wenbin Yao, Chengcheng Yang, Adjé Jérémie Alagbé, Sheng Jin   +6 more
doaj   +1 more source

Partial and Interaction Spline Models for the Semiparametric Estimation of Functions of Several Variables [PDF]

, 1986
A partial spline model is a model for a response as a function of several variables, which is the sum of a smooth function of several variables and a parametric function of the same plus possibly some other variables.
Wahba, Grace
core   +1 more source

An Effective Robust Total Least-Squares Solution Based on “Total Residuals” for Seafloor Geodetic Control Point Positioning

Remote Sensing
Global Navigation Satellite System/Acoustic (GNSS/A) underwater positioning technology is attracting more and more attention as an important technology for building the marine Positioning, Navigation, and Timing (PNT) system.
Zhipeng Lv, Guorui Xiao
doaj   +1 more source

Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework [PDF]

Hydrology and Earth System Sciences, 2015
Physically based models provide insights into key hydrologic processes but are associated with uncertainties due to deficiencies in forcing data, model parameters, and model structure.
M. S. Raleigh, J. D. Lundquist, M. P. Clark   +2 more
doaj   +1 more source

Errors-in-variables models: a generalized functions approach [PDF]

, 2007
Identification in errors-in-variables regression models was recently extended to wide models classes by S. Schennach (Econometrica, 2007) (S) via use of generalized functions. In this paper the problems of non- and semi- parametric identification in such models are re-examined.
openaire   +3 more sources