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AuthorBongkoj Wibultananun (1)Chukiat Viwatwongkasem (1)Manachai Rodchuen (1)Prasert Ruannakarn (1)Sureeporn Sungsuwan (1)Urairat Netharn (1)Wannaporn Junthopas (1)Watchareeporn Chaimongkol (1)Subject
Estimation theory (8)
Sampling (Statistics) (4)Analysis of variance (2)Parameter estimation (2)Adaptive sampling (Statistics) (1)Density functionals (1)Distribution (Probability theory) (1)Grouped heteroscedasticity (1)Heteroscedastic measurement errors (1)Heteroscedasticity (1)... View MoreDate Issued2010 - 2016 (3)2003 - 2009 (5)

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Estimation of parameters in a truncated gamma distribution with unknown truncation points 

Prasert Ruannakarn; Anek Hirunraks, advisor (National Institute of Development Administration, 2003)
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Estimators in finite population sampling on successive occasions 

Bongkoj Wibultananun; Prachoom Suwattee, advisor (National Institute of Development Administration, 2006)
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Estimating the Binomial proportion and the risk difference in multi-center studies with adjusting sparsity 

Chukiat Viwatwongkasem; Jirawan Jitthavech, advisor (National Institute of Development Administration, 2005)
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Three composite imputation methods for item nonresponse estimation in sample surveys 

Watchareeporn Chaimongkol; Prachoom Suwattee, chairperson (National Institute of Development Administration, 2005)
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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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Model-assisted estimation in inverse sampling 

Sureeporn Sungsuwan; Prachoom Suwattee, advisor (National Institute of Development Administration, 2010)
Inverse sampling is a method of sampling which requires the continued drawing of units until certain specified conditions depending on the results of those draws have been fulfilled, and there are many studies on the ...
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Variance estimation for adaptive cluster sampling with a single primary unit and the partially systematic adaptive cluster sampling 

Urairat Netharn; Dryver, Arthur L, advisor (National Institute of Development Administration, 2009)
Two topics are investigated in this dissertation. The first concerns variance estimation when a single primary sampling unit is selected. Two new bias variance estimators, based on splitting the initial sample into sub-samples ...
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Probability density estimation using new kernel functions 

Manachai Rodchuen; Prachoom Suwattee, advisor (National Institute of Development Administration, 2010)
This dissertation propose two new kernel functions to estimate a density unction with small biases and errors .The errors of the estimats are measured using mean squared error (MSEf (f(x,X ))), mean integrated squared error ...

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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
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