Search Results

Estimation and Inference of Threshold Regression Models with Measurement Errors,
Terence Tai Leung Chong, Haiqiang Chen, Russell Wong and Isabel K. Yan, from University Library of Munich, Germany (2015)
Keywords: Threshold Model; Measurement Error; Hausman-type Test.

Estimation and inference of threshold regression models with measurement errors,
Terence Tai Leung Chong, Chen Haiqiang, Russell Wong and Yan Isabel Kit-Ming, in Studies in Nonlinear Dynamics & Econometrics (2018)
Keywords: Hausman-type test, measurement error, threshold model

Design of a CRM Level and Performance Measurement Model,
Anna Krizanova, Lubica Gajanova and Margareta Nadanyiova, in Sustainability (2018)
Keywords: customer relationship management; measurement model; questionnaire survey

Variable selection for varying coefficient models with measurement errors,
Peixin Zhao and Liugen Xue, in Metrika: International Journal for Theoretical and Applied Statistics (2011)
Keywords: Varying coefficient models, Variable selection, Measurement errors,

On the Treatment of a Measurement Error Regression Model,
Taku Yamamoto, from International Institute of Social and Economic Sciences (2016)
Keywords: Regression Model, Measurement Error, Temporal Aggregation, Cosistent Estimator

Control charts for measurement error models,
Vasyl Golosnoy, Benno Hildebrandt, Steffen Köhler, Wolfgang Schmid and Miriam Isabel Seifert, in AStA Advances in Statistical Analysis (2023)
Keywords: Statistical process control, Measurement error, Control charts, Volatility modeling

The essential process in a family of measurement models,
Geofferey Masters and Benjamin Wright, in Psychometrika (1984)
Keywords: Rasch model, latent trait, simple logistic, fundamental measurement,

Performance Measurement Model – Developing and Testing a Measurement Model Based on the Simplifi ed Balanced Scorecard Method,
Muamer Bezdrob Mirha Bičo Ćar, in Zagreb International Review of Economics and Business (2012)
Keywords: Performance measurement, Balanced Scorecard, Model, SEM

Measurement Models for Marketing Constructs,
Hans Baumgartner and Bert Weijters, from Springer (2017)
Keywords: Congeneric Measurement, Exploratory Structural Equation Modeling (ESEM), Standardized Root Mean Square Residual (SRMR), ESEM Model, Customer Citizenship Behavior

Measurement, model testing, and legislative influence in the European Union,
Jonathan B Slapin, in European Union Politics (2014)
Keywords: Bargaining models; ideal points; legislative politics; measurement; spatial models

Semiparametric Bayesian measurement error modeling,
María P. Casanova, Pilar Iglesias, Heleno Bolfarine, Victor H. Salinas and Alexis Peña, in Journal of Multivariate Analysis (2010)
Keywords: Classical measurement error model Hierarchical elliptical model Posterior distribution Dirichlet process Gibbs sampling

Measurement Model and Adaptation of a Self-Efficacy Scale for Mathematics in University Students,
Sonia Beatriz Echeverría Castro, Mirsha Alicia Sotelo Castillo, Christian Oswaldo Acosta Quiroz and Laura Fernanda Barrera Hernández, in SAGE Open (2020)
Keywords: measurement model; invariance; self-efficacy for mathematics

Review of Selected Performance Measurement Models Used in Public Administration,
Alicja Gębczyńska and Renata Brajer-Marczak, in Administrative Sciences (2020)
Keywords: public administration; performance measurement models; performance

Assessment of canopy stomatal conductance models using flux measurements,
Shusen Wang, Yan Yang and Alexander P. Trishchenko, in Ecological Modelling (2009)
Keywords: Stomatal conductance; Humidity; Flux measurement; Model;

Consistent estimation of coefficients in measurement error models with replicated observations,
Shalabh, in Journal of Multivariate Analysis (2003)
Keywords: Ultrastructural model Measurement errors Replicated observations

Estimation of Nonlinear Models with Measurement Error Using Marginal Information,
Geert Ridder and Yingyao Hu, from Econometric Society (2004)
Keywords: measurement error model, marginal information, deconvolution

Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing,
Rajdeep Grewal, Joseph A. Cote and Hans Baumgartner, in Marketing Science (2004)
Keywords: multicollinearity, measurement error, structural equation models

Redefinition and Measurement Dimensions of Sustainable Employability Based on the swAge-Model,
Jianwei Deng, Jiahao Liu, Wenhao Deng, Tianan Yang and Zhezhe Duan, in IJERPH (2021)
Keywords: sustainable employability; definition; measurement dimensions; the swAge-model

MIMIC models and formative measurement: some thoughts on Lee, Cadogan & Chamberlain,
Adamantios Diamantopoulos, in AMS Review (2013)
Keywords: Formative measurement, Composites, Indicators, MIMIC models

CME: Stata program to estimate generalized linear models with covariate measurement error,
Sophia Rabe-Hesketh, from Boston College Department of Economics (2004)
Keywords: generalized linear models, covariate measurement error

An introduction to efficiency measurement using Bayesian stochastic frontier models,
Mike Tsionas, in Global Business and Economics Review (2001)
Keywords: efficiency measurement; Bayesian analysis; stochastic frontier models.

Questions about formative measurement,
James B. Wilcox, Roy D. Howell and Einar Breivik, in Journal of Business Research (2008)
Keywords: Formative measurement Reflective measurement Structural equations modeling

Integrated Model For The Initial Measurement Of Assets Created In Enterprises,
Mincho Minev, in Business & Management Compass (2015)
Keywords: prime cost,costing,costing model,costing systems,initial measurement of production

Auxiliary theories as translation mechanisms for measurement model specification,
Laszlo Sajtos and Bertalan Magyar, in Journal of Business Research (2016)
Keywords: Auxiliary theory; Measurement model specification; Pseudo-isolation; Causality; Translation process;

Bayesian inference for dependent elliptical measurement error models,
Ignacio Vidal and Reinaldo B. Arellano-Valle, in Journal of Multivariate Analysis (2010)
Keywords: Bayesian inference Dependent measurement error model Elliptical distribution

PREDICTIVE ABILITY OF ALTERNATIVE PERFORMANCE MEASUREMENT MODELS,
Js Demski, in Journal of Accounting Research (1969)
Keywords: Performance Measurement, Direct costs, Absorption costing, Ex post optimum model

Energy Modeling and Power Measurement for Mobile Robots,
Linfei Hou, Liang Zhang and Jongwon Kim, in Energies (2018)
Keywords: robot energy modeling; energy measurements; energy consumption; mobile robot

Model averaging for right censored data with measurement error,
Zhongqi Liang, Caiya Zhang and Linjun Xu, in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data (2024)
Keywords: Asymptotic optimality, Heteroscedasticity, Measurement error, Model averaging, Right censoring

Influence Analysis for Linear Measurement Error Models,
Xu-Ping Zhong, Bo-Cheng Wei and Wing-Kam Fung, in Annals of the Institute of Statistical Mathematics (2000)
Keywords: Corrected likelihood, diagnostics, global influence, local influence, measurement error models,

Estimation of Varying Coefficient Models with Measurement Error,
Hao Dong, Taisuke Otsu and Luke Taylor, from Southern Methodist University, Department of Economics (2019)
Keywords: Varying coefficient models, deconvolution, classical measurement error, unknown error distribution.

Structural measurement errors in nonseparable models,
Stefan Hoderlein and Joachim Winter, in Journal of Econometrics (2010)
Keywords: Measurement error Nonparametric Survey design Nonseparable model Identification Zero homogeneity Demand

Structural Measurement Errors in Nonseparable Models,
Stefan Hoderlein and Joachim Winter, from University of Munich, Department of Economics (2009)
Keywords: Measurement Error; Nonparametric; Survey Design; Nonseparable Model; Identification; Zero Homogeneity; Demand

Structural Measurement Errors in Nonseparable Models,
Stefan Hoderlein and Joachim Winter, from Boston College Department of Economics (2009)
Keywords: Measurement Error, Nonparametric, Survey Design, Nonseparable Model, Identification, Zero Homogeneity, Demand

An extension of the rating scale model with an application to the measurement of change,
G. Fischer and P. Parzer, in Psychometrika (1991)
Keywords: Rasch models, rating scale models, item response theory, structural modeling, assessment of treatment effects, measurement of change,

Application of Regression and ANN Models for Heat Pumps with Field Measurements,
Anjan Rao Puttige, Staffan Andersson, Ronny Östin and Thomas Olofsson, in Energies (2021)
Keywords: heat pump; artificial neural network; regression model; modeling; field measurements

Propagation of measurement error in opinion dynamics models: The case of the Deffuant model,
Dino Carpentras and Michael Quayle, in Physica A: Statistical Mechanics and its Applications (2022)
Keywords: Opinion dynamics; Empirical validation; Deffuant model; Measurement error; Prediction; Psychometrics;

Maximum likelihood estimation of generalized linear models with covariate measurement error,
Sophia Rabe-Hesketh, Anders Skrondal and Andrew Pickles, in Stata Journal (2003)
Keywords: covariate measurement error, measurement model, congeneric measurement model, factor model, adaptive quadrature, nonparametric maximum likelihood, NPMLE, latent class model, empirical Bayes, simulation, wrapper, sensitivity analysis, gllamm, cme

Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models,
Suzanne Jak, Frans Oort and Conor Dolan, in AStA Advances in Statistical Analysis (2010)
Keywords: Measurement invariance, Differential item functioning, Multidimensionality, Structural equation modeling, Factor analysis, MIMIC analysis,

Testing models of legislative decision-making with measurement error: The robust predictive power of bargaining models over procedural models,
Justin Leinaweaver and Robert Thomson, in European Union Politics (2014)
Keywords: Bargaining models; legislative decision-making; measurement error; procedural models

Hierarchical Bayesian conjoint models incorporating measurement uncertainty,
John Liechty, Duncan Fong, Eelko Huizingh and Arnaud Bruyn, in Marketing Letters (2008)
Keywords: Conjoint analysis, Weighted regression models, Measurement uncertainty, Confidence, Interval data, Hierarchical Bayesian models,

An extension of the partial credit model with an application to the measurement of change,
Gerhard Fischer and Ivo Ponocny, in Psychometrika (1994)
Keywords: Partial credit model, Rasch model, item response theory, measurement of change, assessment of treatment effects,

Modelling of Non-Commuting Measurements,
Vladimir Danilov, in Journal of the New Economic Association (2009)
Keywords: First-kind measurement, inconsistent measurements, event, orthoposet, transition probability space

Measurement invariance testing in partial least squares structural equation modeling,
Benjamin Dybro Liengaard, in Journal of Business Research (2024)
Keywords: Structural equation modeling; Measurement; Measurement invariance; Partial least squares; Longitudinal; Multigroup analysis;

Modeling Urban Temperature Using Measurements from Mobile and Stationary Monitoring Stations,
Jeongseop Lee and Sanghyun Kim, in Sustainability (2024)
Keywords: urban temperature modeling; mobile measurements; mobile data implementation; optimum measurement campaign

Adjusting for measurement error in the value added model: evidence from Portugal,
Maria Ferrão and Harvey Goldstein, in Quality & Quantity: International Journal of Methodology (2009)
Keywords: Multilevel model, Value-added, Measurement error, Longitudinal data, Reliability, Correlated measurement errors, School effectiveness,

Covariate Measurement Error Adjustment for Multilevel Models With Application to Educational Data,
Michela Battauz, Ruggero Bellio and Enrico Gori, in Journal of Educational and Behavioral Statistics (2011)
Keywords: measurement error; multilevel model; random effects; Rasch model; structural model; value-added model

A Comparative Analysis of Modern Performance Measurement and Management Models of Companies,
Janjić Vesna, Todorović Mirjana and Jovanović Dejan, in Economic Themes (2015)
Keywords: performance measurement and management models, Balanced Scorecard, SAILS model, GRASP model, Kanji’s model

Elliptical linear mixed models with a covariate subject to measurement error,
Joelmir A. Borssoi, Gilberto A. Paula and Manuel Galea, in Statistical Papers (2020)
Keywords: Linear mixed models, Local influence, Measurement error models, Robust estimates, Student-t models, Structural models

Dynamic Equivalent Modeling of a Grid-Tied Microgrid Based on Characteristic Model and Measurement Data,
Changchun Cai, Haolin Liu, Weili Dai, Zhixiang Deng, Jianyong Zhang and Lihua Deng, in Energies (2017)
Keywords: power system; dynamic equivalent modeling; characteristic model; measurement data; microgrid

Estimating one-sided-killings from a robust measurement model of human rights,
Christopher J Fariss, Michael R Kenwick and Kevin Reuning, in Journal of Peace Research (2020)
Keywords: event count; human rights; measurement model; one-sided killing; repression

Non-financial dimensions of measurement and assessment in the performance model for hospitals,
Magdalena Kludacz-Alessandri, in Managerial Economics (2016)
Keywords: non-financial dimensions of measurement and assessment in the performance model for hospitals

A CAMERA-BASED MEASUREMENT SYSTEM FOR OPTIMIZATION OF DIFFERENTIAL-ALGEBRAIC ECOTOXICOLOGICAL MODELS,
Paweł Drąg, Krystyn Styczeń and Konrad Matyja, in CBU International Conference Proceedings (2017)
Keywords: differential-algebraic modelsecotoxicological models, measurement system, nonlinear optimization,

On the use of field measurements of energy fluxes to evaluate land surface models,
Mustapha El Maayar, Jing M. Chen and David T. Price, in Ecological Modelling (2008)
Keywords: Field measurements; Energy fluxes; Energy closure; Land surface models;

Creating a psychosocial measurement model from stressful life events,
T. Joseph Sheehan, in Social Science & Medicine (1996)
Keywords: low birth weight stressful events models structural measurement

Likelihood inference in generalized linear mixed measurement error models,
Mahmoud Torabi, in Computational Statistics & Data Analysis (2013)
Keywords: Bayesian computation; Exponential family; Hierarchical models; Measurement error; Random effects;

Bayesian estimation of regression parameters in elliptical measurement error models,
Ignacio Vidal and Heleno Bolfarini, in Statistics & Probability Letters (2011)
Keywords: Bayesian inference Dependent measurement error model Elliptical distribution

A note on constrained estimation in the simple linear measurement error model,
Ori Davidov and Vladimir Griskin, in Statistics & Probability Letters (2008)
Keywords: Constrained estimators Kuhn-Tucker theory Measurement error models Shrinkage estimators

Difference based estimation for partially linear regression models with measurement errors,
Haibing Zhao and Jinhong You, in Journal of Multivariate Analysis (2011)
Keywords: Difference based estimation Partially linear model Measurement error

Measurement Model of Healthy and Sustainable Cities: The Perception Regarding the Sustainable Development Goals,
Stephane Louise Boca Santa, Felipe Teixeira Dias, Thiago Coelho Soares, Rodolfo Santa Maria de Souza e Silva, Daniel Goulart Basil and José Baltazar Salgueirinho Osório de Andrade Guerra, in Sustainability (2023)
Keywords: measurement model; healthy sustainable cities; sustainable development goals; sustainability indicators

Bayesian Workflow and Hidden Markov Energy-Signature Model for Measurement and Verification,
Simon Rouchier, in Energies (2022)
Keywords: Bayesian inference; measurement and verification; energy signature; hidden Markov model

Measurement Uncertainty Propagation through Basic Photovoltaic Cell Models,
Ivan Tolić, Mario Primorac and Kruno Miličević, in Energies (2019)
Keywords: measurement uncertainty; Monte Carlo simulations; fill factor; photovoltaic cell model

Understanding non-linear modeling of measurement invariance in heterogeneous populations,
Deana Desa, in Advances in Data Analysis and Classification (2018)
Keywords: Measurement invariance, Non-linear modeling, Ordinal multivariate data

Variable selection for additive partially linear models with measurement error,
Zhangong Zhou, Rong Jiang and Weimin Qian, in Metrika: International Journal for Theoretical and Applied Statistics (2011)
Keywords: Backfitting technique, SCAD, Additive model, Local linear method, Measurement error,

The rasch model, the law of comparative judgment and additive conjoint measurement,
H. Brogden, in Psychometrika (1977)
Keywords: measurement theory, Rasch model, test theory, ability, inverse logistic,

A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data,
Yunxiao Chen, in Psychometrika (2020)
Keywords: problem solving, measurement, process data, choice model, marked point process

Structure identification for varying coefficient models with measurement errors based on kernel smoothing,
Mingqiu Wang, Peixin Zhao and Xiaoning Kang, in Statistical Papers (2020)
Keywords: Measurement errors, Penalty function, Structure identification, Varying coefficient models

Estimation of variance components in linear mixed measurement error models,
Karim Zare, Abdolrahman Rasekh and Ali Rasekhi, in Statistical Papers (2012)
Keywords: Corrected score function, Measurement error, Mixed model, Variance components, 62J05,

A Bounded Rationality Model of Information Search and Choice in Preference Measurement,
Cathy Yang and Olivier Toubia, from HEC Paris (2014)
Keywords: Preference Measurement; Incentive Compatibility; Eye Tracking; Dynamic Discrete Choice Models

Correcting Measurement Errors in Transition Models Based on Retrospective Panel Data,
Shaimaa Yassin and Francois Langot, from IRENE Institute of Economic Research (2017)
Keywords: Panel Data, Retrospective Recall, Measurement Error, Labor Markets, Transition Models.

Structural Modeling of Measurement Error in Generalized Linear Models with Rasch Measures as Covariates,
Michela Battauz and Ruggero Bellio, in Psychometrika (2011)
Keywords: heteroscedastic error, IRT, maximum likelihood estimation, measurement error, Rasch model, structural model,

Cost-Benefit Analysis of Mixed Measurement Model,
Yoshinori Kawamura, in The Japanese Accounting Review (2015)
Keywords: Cost-benefit Analysis; Mixed Measurement Model; Fair Value; Relevance; Faithful Representation; Comprehensive Income

A two-piece normal measurement error model,
Reinaldo B. Arellano-Valle, Adelchi Azzalini, Clécio S. Ferreira and Karol Santoro, in Computational Statistics & Data Analysis (2020)
Keywords: Two-piece distributions; Two-piece normal distribution; Multivariate skew-normal distribution; Measurement error model; ECM algorithm;

Efficient option risk measurement with reduced model risk,
Sovan Mitra, in Insurance: Mathematics and Economics (2017)
Keywords: Option risk; Model risk; Risk measurement; Liquidity risk; Option trading strategies;

Coefficient of determination for multiple measurement error models,
C.-L. Cheng, Shalabh, and G. Garg, in Journal of Multivariate Analysis (2014)
Keywords: Measurement error; Linear regression; Coefficient of determination (R2); Ultrastructural model; Non-normal distribution;

Goodness of fit in restricted measurement error models,
C.-L. Cheng, Shalabh, and G. Garg, in Journal of Multivariate Analysis (2016)
Keywords: Coefficient of determination; Goodness of fit; Least squares estimator; Linear equality constraint; Measurement error; Restricted regression; Ultrastructural model;

Specification test for Markov models with measurement errors,
Seonjin Kim and Zhibiao Zhao, in Journal of Multivariate Analysis (2014)
Keywords: Simultaneous confidence band; Markov model; Measurement errors; Time series; Nonparametric estimation; Specification testing;

Inference in high dimensional linear measurement error models,
Mengyan Li, Runze Li and Yanyuan Ma, in Journal of Multivariate Analysis (2021)
Keywords: Decorrelation; High dimensional inference; High dimensional nuisance parameters; Measurement error model;

Measurement Error Models with Nonconstant Covariance Matrices,
Reinaldo B. Arellano-Valle, Heleno Bolfarine and Loreta Gasco, in Journal of Multivariate Analysis (2002)
Keywords: asymptotic distribution sample mean vector and sample covariance matrix elliptical distribution multiplicative measurement error model

Models as measuring instruments: measurement of duration dependence of unemployment,
Peter Rodenburg, in Journal of Economic Methodology (2005)
Keywords: measurement, economic models, transition data, search theory, theory of unemployment, duration dependence of unemployment,

Modelling and measurement of a moving magnet linear compressor performance,
Kun Liang, Richard Stone, Gareth Davies, Mike Dadd and Paul Bailey, in Energy (2014)
Keywords: Moving magnet linear compressor; Mathematical model; Measurements; P–V loop; Losses;

Space Charge Measurement and Modelling in Cross-Linked Polyethylene,
Yunpeng Zhan, George Chen, Miao Hao, Lu Pu, Xuefeng Zhao, Sen Wang and Jian Liu, in Energies (2020)
Keywords: cross-linked polyethylene; space charge measurement; ionization; bipolar charge transport model; hetero charge formation

Three estimators for the poisson regression model with measurement errors,
Alexander Kukush, Hans Schneeweis and Roland Wolf, in Statistical Papers (2004)
Keywords: Poisson regression model, measurement errors, corrected score estimator, structural quasi score estimator, naive estimator,

Semiparametric nonlinear panel data models with measurement error,
Oliver Linton and Ji-Liang Shiu, from Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2018)
Keywords: Correlated random effects, Measurement error, Nonlinear panel data models, Semi-parametric identification

Some Recent Advances in Measurement Error Models and Methods,
Hans Schneeweiß and Thomas Augustin, from Springer (2006)
Keywords: Consistent Estimator, Partial Likelihood, Measurement Error Model, Regression Calibration, Naive Estimator

Multiplicative regression models with distortion measurement errors,
Jun Zhang, Junpeng Zhu, Yan Zhou, Xia Cui and Tao Lu, in Statistical Papers (2020)
Keywords: Distortion measurement errors, Local linear smoothing, Varying coefficient models, Least product relative error estimator, Variable selection

Matrix-variate generalized linear model with measurement error,
Tianqi Sun, Weiyu Li and Lu Lin, in Statistical Papers (2024)
Keywords: Generalized linear model, Matrix-form data, Measurement error, Bias-correction, Sufficient statistic

Semiparametric Nonlinear Panel Data Models with Measurement Error,
Oliver Linton and Ji-Lang Shiu, from Faculty of Economics, University of Cambridge (2019)
Keywords: Correlated random effects, Measurement error, Nonlinear panel data models, Semi-parametric identification

Deriving Bounds on the Structural Vector when the Measurement Errors are Correlated: An Elaboration of the Frisch/Reiersol Approach,
Y. Willasen, from Oslo University, Department of Economics (1998)
Keywords: ECONOMETRICS ; MODELS ; MEASUREMENT

TRUST MEASUREMENT IN AN ENTERPRISE. A CONCEPTUAL APPROACH,
Adam Rudzewicz, in OLSZTYN ECONOMIC JOURNAL (2018)
Keywords: trust, enterprise, stakeholders, measurement model

Prediction and confidence intervals for nonlinear measurement error models without identifiability information,
Longcheen Huwang and J. T. Gene Hwang, in Statistics & Probability Letters (2002)
Keywords: Measurement error models Prediction interval Confidence interval Exponential model Loglinear model Coverage probability