• Title/Summary/Keyword: Biases

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Effects on Regression Estimates under Misspecified Generalized Linear Mixed Models for Counts Data

  • Jeong, Kwang Mo
    • The Korean Journal of Applied Statistics
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    • v.25 no.6
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    • pp.1037-1047
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    • 2012
  • The generalized linear mixed model(GLMM) is widely used in fitting categorical responses of clustered data. In the numerical approximation of likelihood function the normality is assumed for the random effects distribution; subsequently, the commercial statistical packages also routinely fit GLMM under this normality assumption. We may also encounter departures from the distributional assumption on the response variable. It would be interesting to investigate the impact on the estimates of parameters under misspecification of distributions; however, there has been limited researche on these topics. We study the sensitivity or robustness of the maximum likelihood estimators(MLEs) of GLMM for counts data when the true underlying distribution is normal, gamma, exponential, and a mixture of two normal distributions. We also consider the effects on the MLEs when we fit Poisson-normal GLMM whereas the outcomes are generated from the negative binomial distribution with overdispersion. Through a small scale Monte Carlo study we check the empirical coverage probabilities of parameters and biases of MLEs of GLMM.

On the maximum likelihood estimators for parameters of a Weibull distribution under random censoring

  • Kim, Namhyun
    • Communications for Statistical Applications and Methods
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    • v.23 no.3
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    • pp.241-250
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    • 2016
  • In this paper, we consider statistical inferences on the estimation of the parameters of a Weibull distribution when data are randomly censored. Maximum likelihood estimators (MLEs) and approximate MLEs are derived to estimate the parameters. We consider two cases for the censoring model: the assumption that the censoring distribution does not involve any parameters of interest and a censoring distribution that follows a Weibull distribution. A simulation study is conducted to compare the performances of the estimators. The result shows that the MLEs and the approximate MLEs are similar in terms of biases and mean square errors; in addition, the assumption of the censoring model has a strong influence on the estimation of scale parameter.

Efficient Use of Auxiliary Variables in Estimating Finite Population Variance in Two-Phase Sampling

  • Singh, Housila P.;Singh, Sarjinder;Kim, Jong-Min
    • Communications for Statistical Applications and Methods
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    • v.17 no.2
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    • pp.165-181
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    • 2010
  • This paper presents some chain ratio-type estimators for estimating finite population variance using two auxiliary variables in two phase sampling set up. The expressions for biases and mean squared errors of the suggested c1asses of estimators are given. Asymptotic optimum estimators(AOE's) in each class are identified with their approximate mean squared error formulae. The theoretical and empirical properties of the suggested classes of estimators are investigated. In the simulation study, we took a real dataset related to pulmonary disease available on the CD with the book by Rosner, (2005).

Modified inverse moment estimation: its principle and applications

  • Gui, Wenhao
    • Communications for Statistical Applications and Methods
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    • v.23 no.6
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    • pp.479-496
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    • 2016
  • In this survey, we present a modified inverse moment estimation of parameters and its applications. We use a specific model to demonstrate its principle and how to apply this method in practice. The estimation of unknown parameters is considered. A necessary and sufficient condition for the existence and uniqueness of maximum-likelihood estimates of the parameters is obtained for the classical maximum likelihood estimation. Inverse moment and modified inverse moment estimators are proposed and their properties are studied. Monte Carlo simulations are conducted to compare the performances of these estimators. As far as the biases and mean squared errors are concerned, modified inverse moment estimator works the best in all cases considered for estimating the unknown parameters. Its performance is followed by inverse moment estimator and maximum likelihood estimator, especially for small sample sizes.

eXtended Statistical Combination of Uncertainties (XSCU) Method for Digital Nuclear Power Plants

  • In, Wang-Kee;Hwang, Dae-Hyun;Kim, Joon-Sung;Auh, Geun-Sun
    • Nuclear Engineering and Technology
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    • v.30 no.6
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    • pp.617-627
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    • 1998
  • A technically more direct Statistical Combination of Uncertainties (SCU) method, extended SCU (XSCU), was developed to statistically combine the uncertainties associated with the DNBR alarm setpoint and the DNBR trip setpoint of digital nuclear power plants. The Modified SCU (MSCU) method is currently used as the USNRC approved design method to perform the same function. In this study, the MSCU and XSCU methods were compared in terms of the total uncertainties, and the thermal margins to the DNBR alarm and trip setpoints. The MSCU method resulted in small total uncertainties due to large negative biases which are unphysical. The XSCU method gives virtually unbiased total uncertainties which are physically meaningful in order to represent the actual magnitude of the total uncertainties associated with the DNBR alarm and trip setpoints. But the thermal margins to the DNBR alarm and trip setpoints by the MSCU method agree with those by the XSCU method within allowable statistical Variations.

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A Study on Stabilization Control of Inverted Pendulum System using Evolving Neural Network Controller (진화 신경회로망 제어기를 이용한 도립진자 시스템의 안정화 제어에 관한 연구)

  • 김민성;정종원;성상규;박현철;심영진;이준탁
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2001.05a
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    • pp.243-248
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    • 2001
  • The stabilization control of Inverted Pendulum(IP) system is difficult because of its nonlinearity and structural unstability. Thus, in this paper, an Evolving Neural Network Controller(ENNC) without Error Back Propagation(EBP) is presented. An ENNC is described simply by genetic representation using an encoding strategy for types and slope values of each active functions, biases, weights and so on. By an evolutionary programming which has three genetic operation; selection, crossover and mutation, the predetermine controller is optimally evolved by updating simultaneously the connection patterns and weights of the neural networks. The performances of the proposed ENNC(PENNC) are compared with the ones of conventional optimal controller and the conventional evolving neural network controller(CENNC) through the simulation and experimental results. And we showed that the finally optimized PENNC was very useful in the stabilization control of an IP system.

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A Study on the Alkalimetric Titration with Gran Plot in Noncomplexing Media for the Determination of Free Acid in Spent Fuel Solutions

  • 서무열;이창헌;손세철;김정숙;엄태윤
    • Bulletin of the Korean Chemical Society
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    • v.20 no.1
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    • pp.59-64
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    • 1999
  • Based on the study of hydrolysis behaviour of U(Ⅵ) ion and major fission product metal ions such as Cs(Ⅰ), Ce(Ⅲ), Nd(Ⅲ), Mo(Ⅵ), Ru(Ⅱ), and ZR(Ⅳ) in the titration media, the performance of noncomplexing-alkalimetric titration method for the determination of free acid in the presence of these metal ions was investigated and its results were compared to those from the completing methods. The free acidities could be determined as low as 0.05 meq in uranium solutions in which the molar ratio of U(Ⅵ)/H+ was less than 5, when the end-point of titration was estimated by Gran plot. The biases in the determinations were less than 1% and about +3% respectively for 0.4 meq and 0.05 meq of free acid at the U(Vl)/H+ molar ratio of up to 5. Applicability of this method to the determination of free acid in spent fuel solutions was confirmed by the analysis of nitric acid content in simulated spent fuel solutions and in a real spent fuel solution.

Barriers to Early Palliative Care

  • Yoon, Seok-Joon
    • Journal of Hospice and Palliative Care
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    • v.23 no.4
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    • pp.252-255
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    • 2020
  • This article aims to discuss the barriers hindering cancer patients from receiving early palliative care, which has been demonstrated to be more effective in improving quality of life and controlling symptoms. Specifically, there are barriers in four aspects of delivering early palliative care. First, the difficulty of starting discussions about early palliative care and the lack of adequate appointment time can impede communication between oncologists and patients and their family members. Second, determining the timing of referral and deciding upon and applying a standard for referral can be barriers in the process of referral from oncology to palliative care. Third, palliative care patients and their family members can face difficulties regarding in what format and by whom the services will be delivered. Fourth, biases, misinformation, and inaccurate beliefs can be barriers in the process of patients and their family members accepting care. In order to facilitate early palliative care, research and policy regarding these barriers are necessary, along with efforts made by medical staff.

Exploring the Measurement Invariance of the Calling Scale with College Students and Employees

  • Park, Yonguk L.;Lee, Hyejoo J.
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.99-104
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    • 2021
  • The most widely used instrument to assess perceiving a calling, the CVQ(Calling and Vocational Questionnaire), is composed of three constructs: transcendent sermon, purposeful work, and prosocial orientation. Recently assessing perceiving a calling has received great attention and it is critical not only for job incumbents but also college students who are in the job search stage. The purpose of this study is to investigate measurement invariance of the Korean CVQ between employees and college students. 339 job incumbents and 252 college students participated in this study, and based on the multiple group confirmatory factor analysis from the structural equation model, we confirmed the measurement invariance between employees and college students at the scale level. Thus, the perceived calling scale is applicable to both employees and college students without biases. This study provided meaningful information in understanding calling, and we discussed limitations and future directions.

Latent Mean Analysis of the Perceiving and Living a Calling Scales

  • Park, Yonguk L.;Lee, Hyejoo J.
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.97-101
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    • 2022
  • The perceiving a calling scale is composed of three constructs: transcendent sermon, meaningful and prosocial aspects. Based on the multiple group confirmatory factor analysis from the structural equation model, we confirmed the measurement invariance between Christians and non-Christians at the scale level. Furthermore, to investigate the mean difference between Christians and non-Christians, we performed latent mean analysis. The results showed that the three-factor structure is equivalent across Christians and non-Christians, and further confirmed metric invariance and scalar invariance. Thus, the perceived calling scale is applicable to both Christians and non-Christians without biases. We also examined mean differences between the two groups. Christians demonstrated significantly higher scores on the three factors but no difference on the living a calling. This study provided meaningful information in understanding calling, and we discussed limitations and future directions.