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Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data

Mathematics (Basel), 2020-06, Vol.8 (6), p.1000

2020

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Regression Models for the Comparison of Measurement Methods

1, 2020

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Gold Standard in selection of rainfall forecasting models for soybean crops region

Australian journal of crop science, 2022-04 (16(04):2022), p.495-500

2022

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Spatial variability of wheat yield using the gaussian spatial linear model

Australian journal of crop science, 2023-02 (17(02):2023), p.179-189

2023

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On estimation and influence measures for the Negative Binomial regression model based on Q-function

Communications in statistics. Theory and methods, 2022-04, Vol.51 (7), p.1954-1974

2022

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Slash Spatial Linear Modeling: Soybean Yield Variability as a Function of Soil Chemical Properties

Revista Brasileira de Ciência do Solo, 2018-01, Vol.42

2018

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GEOSTATISTICAL MODELING OF SOYBEAN YIELD AND SOIL CHEMICAL ATTRIBUTES USING SPATIAL BOOTSTRAP

Engenharia Agrícola, 2019-06, Vol.39 (3), p.350-357

2019

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SPATIAL VARIABILITY OF SOYBEAN YIELD THROUGH A REPARAMETERIZED T-STUDENT MODEL

Engenharia Agrícola, 2017-08, Vol.37 (4), p.760-770

2017

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GAUSSIAN SPATIAL LINEAR MODEL OF SOYBEAN YIELD USING BOOTSTRAP METHODS

Engenharia Agrícola, 2018-01, Vol.38 (1), p.110-116

2018

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Influence analysis for the generalized Waring regression model

Journal of applied statistics, 2020-01, Vol.47 (1), p.1-27

2020

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Maximum Lq-likelihood Estimation in Functional Measurement Error Models

Statistica Sinica, 2022-07

2022

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Conditional likelihood inference in a heteroscedastic functional measurement error model

Chemometrics and intelligent laboratory systems, 2023-12, Vol.243, p.105005, Article 105005

2023

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MAXIMUM L q -LIKELIHOOD ESTIMATION IN FUNCTIONAL MEASUREMENT ERROR MODELS

Statistica Sinica, 2022-07, Vol.32 (3), p.1723-1743

2022

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Inference in multivariate regression models with measurement errors

Journal of statistical computation and simulation, 2023-08, Vol.93 (12), p.1997-2025

2023

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Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data

Applied stochastic models in business and industry, 2021-01, Vol.37 (1), p.53-73

2021

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Assessment of local influence for the analysis of agreement

Biometrical journal, 2019-07, Vol.61 (4), p.955-972

2019

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Local influence for spatial analysis of soil physical properties and soybean yield using student's t-distribution

Revista Brasileira de Ciência do Solo, 2011-12, Vol.35 (6), p.1917-1926

2011

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Regression Models for the Comparison of Measurement Methods. SpringerBriefs in Statistics - ABE

1st Edition 2020, 2020

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Robust inference in an heteroscedastic measurement error model

Journal of the Korean Statistical Society, 2010, 39(4), , pp.439-447

2010

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Bayesian inference for the pairwise probability of agreement using data from several measurement systems

Quality engineering, 2021-10, Vol.33 (4), p.571-580

2021

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Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression

Stochastic environmental research and risk assessment, 2020-10, Vol.34 (10), p.1457-1471

2020

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Local influence diagnostics for the test of mean–variance efficiency and systematic risks in the capital asset pricing model

Statistical papers (Berlin, Germany), 2019-02, Vol.60 (1), p.293-312

2019

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Influence diagnostics for the structural sharpe model under normal/independent distributions

Communications in statistics. Theory and methods, 2019-04, Vol.48 (8), p.1815-1835

2019

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On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application

Journal of statistical computation and simulation, 2020-09, Vol.90 (13), p.2354-2383

2020

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Influence diagnostics in Gaussian spatial–temporal linear models with separable covariance

Environmental and ecological statistics, 2023-06, Vol.30 (2), p.131-155

2023

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Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data

Regression Models for the Comparison of Measurement Methods

Gold Standard in selection of rainfall forecasting models for soybean crops region

Spatial variability of wheat yield using the gaussian spatial linear model

On estimation and influence measures for the Negative Binomial regression model based on Q-function

Slash Spatial Linear Modeling: Soybean Yield Variability as a Function of Soil Chemical Properties

GEOSTATISTICAL MODELING OF SOYBEAN YIELD AND SOIL CHEMICAL ATTRIBUTES USING SPATIAL BOOTSTRAP

SPATIAL VARIABILITY OF SOYBEAN YIELD THROUGH A REPARAMETERIZED T-STUDENT MODEL

GAUSSIAN SPATIAL LINEAR MODEL OF SOYBEAN YIELD USING BOOTSTRAP METHODS

Influence analysis for the generalized Waring regression model

Maximum Lq-likelihood Estimation in Functional Measurement Error Models

Conditional likelihood inference in a heteroscedastic functional measurement error model

MAXIMUM L q -LIKELIHOOD ESTIMATION IN FUNCTIONAL MEASUREMENT ERROR MODELS

Inference in multivariate regression models with measurement errors

Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data

Assessment of local influence for the analysis of agreement

Local influence for spatial analysis of soil physical properties and soybean yield using student's t-distribution

Regression Models for the Comparison of Measurement Methods. SpringerBriefs in Statistics - ABE

Robust inference in an heteroscedastic measurement error model

Bayesian inference for the pairwise probability of agreement using data from several measurement systems

Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression

Local influence diagnostics for the test of mean–variance efficiency and systematic risks in the capital asset pricing model

Influence diagnostics for the structural sharpe model under normal/independent distributions

On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application

Influence diagnostics in Gaussian spatial–temporal linear models with separable covariance

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