• Title/Summary/Keyword: Mixed effects model

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Body Measurement Changes and Prediction Models for Flight Pilots in Dynamic Postures (자세에 따른 부위별 체표길이 변화량 분석 및 예측모형 개발 -공군 전투조종사를 대상으로-)

  • Lee, Ah Lam;Nam, Yun Ja;Chen, Lin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.1
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    • pp.84-95
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    • 2020
  • Wearing ease is a critical factor when designing special uniforms such as flight pilot's garment and should reflect occupational properties for better performance. This study measured skin surface on 31 areas in seven postures that refer to the pilot's occupational postures as well as made six prediction models including linear mixed model (LMM) for each body part to find the best fit model. Skin surface measured from 3D body scanned images of 11 male pilot participants. There were significantly positive and negative changes in various areas from standing posture (P1) to dynamic postures (P2-P7). Six models were designed in various compositions using stature and chest circumference as fixed effects and subject and posture as random effects. The best models were linear mixed models with one fixed effect (chest circumference or stature, varies with body parts) and two random effects (subject and posture). The results of this study provide reference data to set wearing ease for pilot's garment and suggests a new methodology in this research area, but verifying the effect of diverse independent variables is left for future studies.

Investigation into Longitudinal Writing Development Using Linear Mixed Effects Model (선형 혼합 모형을 통해 살펴본 쓰기 능력의 장기적인 발전 양상 탐색)

  • Lee, Young-Ju
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.315-319
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    • 2022
  • This study investigates longitudinal writing development in terms of syntactic complexity using linear mixed effects (LME) model. This study employs essays written by four case study participants. Participants voluntarily wrote essays outside of the classroom and submitted the first and second drafts, after reflecting on the automated writing evaluation feedback (i.e., Criterion) every month over one year. A total of 48 first drafts were analyzed and syntactic complexity features were selected from Syntactic Complexity Analyzer. Results of LME showed that there was a significant positive linear relationship between time and mean length of T-unit and also between time and the ratio of dependent clauses to independent clauses, indicating that case study participants wrote longer T-units and also a higher proportion of dependent clauses over one year.

Conjoint analysis with mixed levels of attributes (혼합된 수준들의 속성들을 갖는 컨조인트 분석)

  • Lim, Yong B.;Chung, Jong Hee
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.799-811
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    • 2016
  • Purpose: The conjoint analyst in marketing are interested in detecting whether there exist synergy or antagonistic effects between two attributes. In the cases where attributes have two or three levels, we research on the design of survey questionnaire to estimate all the main effect and as many two factor interaction effects as possible. Methods: We consider the balanced incomplete block (BIB) mixed level factorial design $2^f{\times}3^g$ or fractional factorial design. To reduce the number of questions in a questionnaire, we propose the balanced incomplete block mixed level design with minimum aberration which is generated by implementing proc factex in SAS. Also, we propose using two or three level BIB factorial design instead of mixed level designs by transforming three level attributes into two attributes of two levels and two level attribute into three level attribute by using dummy level technique. Results: We propose three methods for designing survey questionnaire where the block and design generators are found with practical number of questions in a questionnaire. By analyzing all the respondents survey data generated by the simulation study, we find the proper model and do the concepts optimization. Conclusion: The proposed methods of designing survey questionnaires seem to perform well in the sense that the proper model, and then the optimal concept is found in a case study where all the respondents survey data are generated by the simulation study.

Effect of Sliding Velocity on 3D Rough Surface in Mixed Lubrication Regime (속도의 영향에 따른 3차원 거친 표면의 혼합윤활해석)

  • Lim, DongJin;Moon, Sukman;Cho, Yongjoo
    • Tribology and Lubricants
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    • v.29 no.1
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    • pp.27-32
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    • 2013
  • This study examined the effects of surface roughness in the mixed lubrication regime of smooth and rough surfaces for roller bearings. The average flow model was adopted for interaction between the flow rheology of the lubricant and the surface roughness. The average Reynolds equation and related flow factor that describes the coupled effects of surface roughness and flow rheology, the viscosity-pressure and density-pressure equations, the elastic deformation equation, and the force balance equation were solved simultaneously. The results showed that the effects of surface roughness on the film thickness and pressure distribution should be considered, especially in elastohydrodynamic lubrication contact problems.

Estimating small area proportions with kernel logistic regressions models

  • Shim, Jooyong;Hwang, Changha
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.941-949
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    • 2014
  • Unit level logistic regression model with mixed effects has been used for estimating small area proportions, which treats the spatial effects as random effects and assumes linearity between the logistic link and the covariates. However, when the functional form of the relationship between the logistic link and the covariates is not linear, it may lead to biased estimators of the small area proportions. In this paper, we relax the linearity assumption and propose two types of kernel-based logistic regression models for estimating small area proportions. We also demonstrate the efficiency of our propose models using simulated data and real data.

Semiparametric kernel logistic regression with longitudinal data

  • Shim, Joo-Yong;Seok, Kyung-Ha
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.2
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    • pp.385-392
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    • 2012
  • Logistic regression is a well known binary classification method in the field of statistical learning. Mixed-effect regression models are widely used for the analysis of correlated data such as those found in longitudinal studies. We consider kernel extensions with semiparametric fixed effects and parametric random effects for the logistic regression. The estimation is performed through the penalized likelihood method based on kernel trick, and our focus is on the efficient computation and the effective hyperparameter selection. For the selection of optimal hyperparameters, cross-validation techniques are employed. Numerical results are then presented to indicate the performance of the proposed procedure.

Korean Welfare Panel Data: A Computational Bayesian Method for Ordered Probit Random Effects Models

  • Lee, Hyejin;Kyung, Minjung
    • Communications for Statistical Applications and Methods
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    • v.21 no.1
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    • pp.45-60
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    • 2014
  • We introduce a MCMC sampling for a generalized linear normal random effects model with the ordered probit link function based on latent variables from suitable truncated normal distribution. Such models have proven useful in practice and we have observed numerically reasonable results in the estimation of fixed effects when the random effect term is provided. Applications that utilize Korean Welfare Panel Study data can be difficult to model; subsequently, we find that an ordered probit model with the random effects leads to an improved analyses with more accurate and precise inferences.

Evaluation of energy efficiency ratio in the mixed air conditioner system (혼합 공조 시스템의 EER(A) 평가)

  • 김병순;이승홍
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.11 no.4
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    • pp.542-548
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    • 1999
  • Instead of testing split air conditioners, an empirically based calculation procedure may be used to estimate the Energy Efficiency Ratio at ARI A test conditions. Typically, the system involving the indoor unit well sold and the given outdoor unit is called the matched system. All other systems involving a given outdoor unit and other indoor units are called the mixed systems. To estimate the EER(A) for the mixed systems, EER(A) for the matched system must be known, Generally, the EER(A) for the matched system is known. This procedure relies on independent measurements and calculations made on an outdoor unit in conjunction with a matched indoor and a mixed indoor coil. A heat pump simulation model was used to quantify the effects of individual system components on the system performance. The procedure is applicable to all air-conditioning units having rated cooling capacities less than 19,000W and charged with refrigerant 22.

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Mapping Quantitative Trait Loci with Various Types of Progeny from Complex Pedigrees

  • Lee, C.;Wu, X.L.
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.11
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    • pp.1505-1510
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    • 2001
  • A method for mapping quantitative trait loci (QTL) was introduced incorporating the information of mixed progeny from complex pedigrees. The method consisted of two steps based on single marker analysis. The first step was to examine the marker-trait association with a mixed model considering common environmental effect and reversed QTL-marker linkage phase. The second step was to estimate QTL effects by a weighted least square analysis. A simulation study indicated that the method incorporating mixed progeny from multiple generations improved the accuracy of QTL detection. The influence of within-genotype variance and recombination rate on QTL analysis was further examined. Detecting a QTL with a large within-genotype variance was more difficult than with a small within-genotype variance. Most of the significant marker-QTL association was detectable when the recombination rate was less than 15%.

Flexible Zoning and Mixed Use in Seoul, Korea Planning Implications of Seoul's Zoning Model

  • Kim, Jeeyeop;Potter, Cuz;Cho, A-ra
    • Architectural research
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    • v.22 no.4
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    • pp.145-154
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    • 2020
  • Zoning has long been criticized for its negative effects and has been taken for granted that zoning works as a hurdle to urban diversity. Responses in the US have emphasized more fine-grained zoning approaches that plan mixed use. This paper introduces and evaluates Seoul's zoning system as a possible alternative. While US zoning regulations have relied on distinguishing ever larger numbers of land use zoning categories, Seoul has opted to integrate new land uses into existing classifications, allowing for greater flexibility of use in each zone. Using municipal building records to evaluate land use in three mid-density residential districts, this paper demonstrates that Seoul's flexible zoning is capable of producing diverse mixed use neighborhoods. It then highlights the potential downside of this approach, showing that flexibility allows for the commercialization and sectoral gentrification of residential districts. It concludes by suggesting that a combination of flexible zones and more fine-grained plans would capture the advantages of both US and Korean planning.