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AuthorJuthaphorn Saekhoo (1)Paweena Tangjuang (1)Pimpan Amphanthong (1)Pimtong Srihera (1)Pradthana Minsan (1)Renumas Gulasirima (1)Rujirek Boosarawongse (1)Siriwan Tantawanich (1)Srisuda Boonyim (1)Titirut Mekbunditkul (1)... View MoreSubject
Regression analysis (12)
Outliers (Statistics) (2)Permutations (2)Analysis of variance (1)Auto-regression (Statistics) (1)Autocorrelation (Statistics) (1)Equations, Simultaneous (1)Estimation theory (1)Grouped heteroscedasticity (1)Heteroscedastic measurement errors (1)... View MoreDate Issued2010 - 2016 (5)2004 - 2009 (7)

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Simple linear regression analysis for incomplete longitudinal data 

Juthaphorn Saekhoo; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2008)
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Model selection criteria for autoregressive and autoregressive moving average models based on Kullback symmetric divergence 

Rujirek Boosarawongse; Samruam Chongcharoen, chairperson (National Institute of Development Administration, 2004)
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Nonparametric comparison of regression functions in two samples 

Pimtong Srihera; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2004)
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Permutation test of partial regression coefficients 

Siriwan Tantawanich; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2006)
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Robustifying regression models 

Renumas Gulasirima; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2006)
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Outlier detection and parameter estimation in multivariate multiple regression (MMR) 

Paweena Tangjuang; Pachitjanut Siripanich (National Institute of Development Administration, 2013)
Outlier detection in Y-direction for multivariate multiple regression data is interesting since there are correlations between the dependent variables which is one cause of difficulty in detecting multivariate outliers, ...
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Corrected score estimators in multivariate regression models with heteroscedastic measurement errors 

Wannaporn Junthopas; Jirawan Jitthavech (National Institute of Development Administration, 2016)
In this study, the knowledge of parameter estimation theory based on the corrected score (CS) approach is extended in a linear multivariate multiple regression model with heteroscedastic measurement errors (HME) and an ...
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A test statistic for selection of multivariate linear regression models 

Srisuda Boonyim; Jirawan Jitthavech (National Institute of Development Administration, 2015)
In this study, a test statistic used to select a multivariate linear regression model based on Mallows’s Cp with the same rationale as the SCp criterion from the system of equations Vichit Lorchirachoonkul and Jirawan ...
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Selection of a system of simultaneous equations model 

Warangkhana Keerativibool; Jirawan Jitthavech, advisor (National Institute of Development Administration, 2009)
One of the most important problems in statistical modeling is to choose an appropriate model from a class of candidate models. In real life, we may not know what the true model is, but we hope to find a model that is a ...
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A permutation test for partial regression coefficients on first-order autocorrelation 

Pradthana Minsan; Pachitjanut Siripanich, advisor (National Institute of Development Administration, 2010)
This dissertation proposes a permutation test and a permutation procedure for testing on partial regression coefficients from a multiple linear regression with first-order autocorrelation where the distribution of the ...
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Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.

Copyright © National Institute of Development Administration | สถาบันบัณฑิตพัฒนบริหารศาสตร์
Library and Information Center | สำนักบรรณสารการพัฒนา
Email: NIDAWR@nida.ac.th    Chat: Facebook Messenger    Facebook: NIDAWisdomRepository
 

 

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