• Title/Summary/Keyword: Weighted model

Search Result 1,304, Processing Time 0.03 seconds

Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores

  • Lee, Cue Hyunkyu;Cook, Seungho;Lee, Ji Sung;Han, Buhm
    • Genomics & Informatics
    • /
    • v.14 no.4
    • /
    • pp.173-180
    • /
    • 2016
  • The meta-analysis has become a widely used tool for many applications in bioinformatics, including genome-wide association studies. A commonly used approach for meta-analysis is the fixed effects model approach, for which there are two popular methods: the inverse variance-weighted average method and weighted sum of z-scores method. Although previous studies have shown that the two methods perform similarly, their characteristics and their relationship have not been thoroughly investigated. In this paper, we investigate the optimal characteristics of the two methods and show the connection between the two methods. We demonstrate that the each method is optimized for a unique goal, which gives us insight into the optimal weights for the weighted sum of z-scores method. We examine the connection between the two methods both analytically and empirically and show that their resulting statistics become equivalent under certain assumptions. Finally, we apply both methods to the Wellcome Trust Case Control Consortium data and demonstrate that the two methods can give distinct results in certain study designs.

Robust Target Model Update for Mean-shift Tracking with Background Weighted Histogram

  • Jang, Yong-Hyun;Suh, Jung-Keun;Kim, Ku-Jin;Choi, Yoo-Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.10 no.3
    • /
    • pp.1377-1389
    • /
    • 2016
  • This paper presents a target model update scheme for the mean-shift tracking with background weighted histogram. In the scheme, the target candidate histogram is corrected by considering the back-projection weight of each pixel in the kernel after the best target candidate in the current frame image is chosen. In each frame, the target model is updated by the weighted average of the current target model and the corrected target candidate. We compared our target model update scheme with the previous ones by applying several test sequences. The experimental results showed that the object tracking accuracy was greatly improved by using the proposed scheme.

A Cointegration Test Based on Weighted Symmetric Estimator

  • Son Bu-Il;Shin Key-Il
    • Communications for Statistical Applications and Methods
    • /
    • v.12 no.3
    • /
    • pp.797-805
    • /
    • 2005
  • Multivariate unit root tests for the VAR(p) model have been commonly used in time series analysis. Several unit root tests were developed and recently Shin(2004) suggested a cointegration test based on weighted symmetric estimator. In this paper, we suggest a multivariate unit root test statistic based on the weighted symmetric estimator. Using a small simulation study, we compare the powers of the new test statistic with the statistics suggested in Shin(2004) and Fuller(1996).

Frequency weighted reduction using Lyapunov inequalities (Lyapunov 부등식을 이용한 주파수하중 차수축소)

  • 오도창;정은태;이상경
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2000.10a
    • /
    • pp.12-12
    • /
    • 2000
  • This paper consider a new weighted model reduction using block diagonal solutions of Lyapunov inequalities. With the input and/or output weighting function, the stability of reduced order system is quaranteed and a priori error bound is proposed. to achieve this, after finding the solutions of two Lyapunov inequalities and balancing the full order system, we find the reduced order systems using the direct truncation and the singular perturbation approximation. The proposed method is compared with other existing methods using numerical example.

  • PDF

Total quality management Activities Evaluation (TAE) Model by the traditional scoring system and the efficiency measuring system (품질경영활동의 효율성을 고려한 평가모형)

  • 유한주
    • Journal of Korean Society for Quality Management
    • /
    • v.26 no.3
    • /
    • pp.100-107
    • /
    • 1998
  • To evaluate the total quality activities is the most fundamental and critical process as one of the PDCA cycle. The quality award criteria such as Malcolm Baldrige National Quality Award and Deming Award can be a, pp.ied to the guideline for evaluating quality activities. We can identify several important factors for TQM by referring quality award criteria, but they don't suggest how efficiently implement TQM. In this paper, two methodologies are a, pp.ied to evaluate the TQM activities comparatively. One of them is the traditional scoring system (TSS) by analytic hierarchy process (AHP). TSS is the system which evaluates the performance of TQM by the weighted sum of critical success factors. Several quality award system are typical examples of TSS. The other is the efficiency measuring system (EMS) by data envelop analysis (DEA). DEA outperformed other alternative methods to measure the efficiency and it can be a, pp.ied to evaluate the TQM activities. The evaluation system by DEA can be named as EMS. The objective of this paper is to suggest a model called TAE (Total quality management Activities Evaluation), for evaluating TQM activities. In this model TQM organizations are classified into four types by considering TSS and EMS. Those types are high weighted sum and high efficiency type, high weighted sum and low efficiency type, low weighted sum and high efficiency type, and low weighted sum and low efficiency type. Therefore TQM organizations must not only make efforts to get the higher scores in terms of TSS, but also take necessary steps to enhance their efficiencies.

  • PDF

A Comparative Analysis of the Relevance Weighted Boolean Model and the P-NORM Model: An Improvement on the Boolean Retrieval (적합성 가중치 검색 및 P-NORM 검색에 관한 연구 -불 논리 검색의 개선을 중심으로-)

  • 이효숙
    • Journal of the Korean Society for information Management
    • /
    • v.11 no.1
    • /
    • pp.31-56
    • /
    • 1994
  • To evaluate the retrieval effectiveness of the B03lean Request Conversion Mod4 the Relevance Weighted Boolean Model, and the P-NORM Model, the present study has been done with expenmental tests. It is proven that the Relevance Weighted Bdean Model is more effective in precision and the document output ranks than the other ones. The expenmental results indmte a promisii application of relevance mformation and weigh- schemes.

  • PDF

A Study on Continued Use of Online Shopping Site Using a Weighted Expectation-Confirmation Model (가중화된 기대충족모형을 이용한 인터넷 쇼핑 사이트의 지속적 사용에 관한 연구)

  • Lee, Sun-Ro;Jung, Yon-Oh
    • Korean Management Science Review
    • /
    • v.25 no.3
    • /
    • pp.135-155
    • /
    • 2008
  • This paper investigates the value of the expectation-confirmation model(ECM) of IT continuance in the internet shopping environments and attempts to expand the ECM with consideration of users diverse internet shopping factors and their preferences. Here, the extended ECM measures the users expectation-confirmation separately at the product, site and service levels, rather than treating it a single construct as measured in the original model. Further, AHP has been used for assessing the relative importance among the shopping factors, and the priority has been used for deriving weighted expectation-confirmation levels in the model. PLS analysis shows that there are significant differences in path coefficients between the ECM and a weighted ECM. This Indicates that users preferences among the diverse shopping factors need to be properly assessed to better understand the relationship between users expectation-confirmation and their continued usage behavior.

Shape Optimization of Axial Flow Fan Blade Using Surrogate Model (대리모델을 사용한 축류송풍기 블레이드의 형상 최적화)

  • Kim, Jin-Hyuk;Choi, Jae-Ho;Kim, Kwang-Yong
    • Proceedings of the KSME Conference
    • /
    • 2008.11b
    • /
    • pp.2440-2443
    • /
    • 2008
  • This paper presents a three dimensional shape optimization procedure for a low-speed axial flow fan blade with a weighted average surrogate model. Reynolds-averaged Navier-Stokes equations with shear stress transport turbulence model are discretized by finite volume approximations. Six variables from airfoil profile and lean are selected as design variables. 3D RANS solver is used to evaluate the objective functions of total pressure efficiency. Surrogate approximation models for optimization have been employed to find the optimal design of fan blade. A search algorithm is used to find the optimal design in the design space from the constructed surrogate models for the objective function. The total pressure efficiency is increased by 0.31% with the weighted average surrogate model.

  • PDF

Development of the Machine Learning-based Employment Prediction Model for Internship Applicants (인턴십 지원자를 위한 기계학습기반 취업예측 모델 개발)

  • Kim, Hyun Soo;Kim, Sunho;Kim, Do Hyun
    • Journal of the Semiconductor & Display Technology
    • /
    • v.21 no.2
    • /
    • pp.138-143
    • /
    • 2022
  • The employment prediction model proposed in this paper uses 16 independent variables, including self-introductions of M University students who applied for IPP and work-study internship, and 3 dependent variable data such as large companies, mid-sized companies, and unemployment. The employment prediction model for large companies was developed using Random Forest and Word2Vec with the result of F1_Weighted 82.4%. The employment prediction model for medium-sized companies and above was developed using Logistic Regression and Word2Vec with the result of F1_Weighted 73.24%. These two models can be actively used in predicting employment in large and medium-sized companies for M University students in the future.