• Title/Summary/Keyword: Estimating

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An Improvement of Impulse Response Estimating Method in Acoustic Rhinometer (음향 비강 측정기의 임펄스 응답 추정 방법의 개선)

  • 양진원;최민주;이용학
    • Proceedings of the IEEK Conference
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    • 2000.06e
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    • pp.95-98
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    • 2000
  • Evaluation of the acoustic nasal geometry is obtained by estimating impulse response due to the nasal geometry. Conventionally, the Wiener filtering method proposed by Hunt has been used for estimating impulse response. In this paper, we proposed the Weiner filtering method using noise-to-signal power ratio for estimating impulse response. In result, the proposed method in this paper is effective than the conventional method.

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Estimation for Autoregressive Models with GARCH(1,1) Error via Optimal Estimating Functions.

  • Kim, Sah-Myeong
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.1
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    • pp.207-214
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    • 1999
  • Optimal estimating functions for a class of autoregressive models with GARCH(1,1) error are discussed. The asymptotic properties of the estimator as the solution of the optimal estimating equation are investigated for the models. We have also some simulation results which suggest that the proposed optimal estimators have smaller sample variances than those of the Conditional least-squares estimators under the heavy-tailed error distributions.

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An Estimating Function Approach for Threshold-ARCH Models

  • Kim, Sahm-Yeong;Chong, Tae-Su
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.1
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    • pp.33-40
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    • 2005
  • The estimating function method was proposed by Godambe(1985) for parameter estimation under unknown distributions for errors in the models. Threshold Autoregressive Heteroscedastic (Threshold-ARCH) models have been developed by Zakoian(1994) and Li and Li(1996) for explaining the asymmetric properties in the financial time series data. In this paper, we apply the estimating function method to the Threshold-ARCH model and show that the proposed estimators perform better than the MLE under the heavy-tailed distributions.

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Development of Cost Estimating Model Using Quantity Variation Analysis by Influence Variables for the Schematic Design Phase (영향변수에 따른 수량변화 분석을 이용한 기본설계단계의 개산견적 모델 개발)

  • Son, Bo-Sik;Lee, Hyun-Soo;Kim, Sung-Tae
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.4
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    • pp.155-166
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    • 2007
  • The purpose of this research is to develop a conceptual model and prototype that establishes a new approach for building cost estimating in the schematic design phage. This research use the method that analyzes quantity and unit price separately to enhance schematic cost estimating through conducting literature review andi analyzing existing schematic cost estimating methods. In addition, this study proposes tile concept of cost breakdown structure including two more classifications: building element and floor compared to existing one only classified by trade. Thus, a Quantity Based Active Schematic cost Estimating(Q-BASE) model is developed founded on those two concepts. By applying proposed schematic cost estimating model, historical structure cost of residential complex building project is analyzed, and then, based on this analysis, prototype is implemented.

A Study on the effects of small group cooperative learning on strategies for estimating measurement - focused on 5th graders - (소집단 협동학습을 통한 의사소통활동이 어림측정전략에 미치는 효과 - 초등학교 5학년을 중심으로 -)

  • Kim, Myuog-Ok;Kwoo, Sung-Yoog
    • The Mathematical Education
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    • v.48 no.3
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    • pp.329-352
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    • 2009
  • The purpose of this study was to investigate the effects of small group cooperative communicative activities on the strategies for estimating measurement. To do this, two research questions were set as follow: First, are there any differences between strategies employed by students in the experimental group and the control group before and after the estimating measurement activities? Second, are there any differences between strategies employed by students in different ability levels(upper, middle, lower) of pre-estimating measurement test in the experimental group? The research results were drawn from the investigation as below: First, the strategical change of before and after the estimating measurement tasks in the experimental group was quite noticeable. Unlike the small strategical change in the control group, small group cooperative communicative learning resulted in a decrease of simple memorization and guessing strategies and an increase of refined strategies such as the standard strategy, clustering, unit load and so on. Second, mathematical communicative activities in a small group cooperative learning showed that the students in the upper level of pre-estimating measurement test used more refined strategies and the students in the lower level used simple memorization and guessing strategy more frequently. And through interaction in small group, students could have chances to recognize error of strategies and to modify and learn strategies. In conclusion, small group cooperative activities allowed students to have chances to communicate mathematically and it is a efficient way of helping students learn estimating measurement strategies.

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Estimating Parameters in Overdispersed Binary Data

  • Lee, Sunho
    • Communications for Statistical Applications and Methods
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    • v.7 no.1
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    • pp.269-276
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    • 2000
  • there are several methods available for estimating parameters in overdispersed binary response data with the litter effect. Simulations are performed to compare methods for estimating an overall mean and an overdispersion parameter using moments a maximum likelihood under a beta-binomial distribution a maximum quasi-likelihood and a maximum extended quasi-likelihood.

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The Estimating Equations Induced from the Minimum Dstance Estimation

  • Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.687-696
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    • 2003
  • This article presents a new family of the estimating functions related with minimum distance estimations, and discusses its relationship to the family of the minimum density power divergence estimating equations. Two representative minimum distance estimations; the minimum $L_2$ distance estimation and the minimum Hellinger distance estimation are studied in the light of the theory of estimating equations. Despite of the desirable properties of minimum distance estimations, they are not widely used by general researchers, because theories related with them are complex and are hard to be computationally implemented in real problems. Hopefully, this article would be a help for understanding the minimum distance estimations better.

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A COST DATA-BASED ESTIMATING MODEL FOR FINISHES IN THE KOREAN PUBLIC OFFICE BUILDING PROJECTS

  • Joon-Oh Seo;Sang H.Park;Choong-Wan Koo;Jong-Hoon Kim
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.685-691
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    • 2009
  • Recently, public office building projects are being recognized by many construction engineers and researchers, as the critical projects in the construction industry. The project budgets have sometimes exceeded due to the lack of core knowledge, experiences, skills and experts concerned in cost planning and estimating in the pre-construction stage. It has been highlighted that planning and estimating effectively the cost of public office building projects as critical in the design stage. Within this context, some cost data books and systems, such as RSMeans cost data systems and Spon's price book, have been systematically developed and used by many construction cost managers and organizations in order to effectively estimate and use their project budgets. As a result of this research, a cost estimating model for finishes has been developed, considering the cost data used in public office building projects.

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Framework for Estimating Appropriate Construction Duration of CFRD in the Planning Phase

  • Kim, In Kyum;Kim, Kyong Ju;Yun, Won Gun
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.604-605
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    • 2015
  • To secure quality of dam construction needs appropriate construction duration. Tight construction schedule may have negative influence on infrastructure quality, work safety and maintenance cost. It is necessary to reflect proper construction duration in the planning phase. There have been standards for estimating construction duration of building and industrial complex development but dam construction have not. In order to estimate construction duration of CFRD, feasible study reports and design reports were analyzed to acquire available information. After that, considering on construction duration methods such as comparison with similar cases, approximate estimating formula, approximate quantity assumption were adapted to Critical Path items. Hence, this study present framework for construction duration estimating of CFRD in the planning phase. This framework can be applied other types of dam along the same line.

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Analysis of Middle School Students' Ability in Estimating Order of Magnitude for physical Quantities (중학생의 물리량에 대한 차수 어림 능력 분석)

  • Suh, Jung-Ah;Jo, Kwang-Hee;Pak, Sung-Jae
    • Journal of The Korean Association For Science Education
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    • v.23 no.3
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    • pp.229-238
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    • 2003
  • In this study, we investigated middle school student' ability in estimating order of magnitude of physical quantities. Participants were 448 students of seventh grades and ninth graders in Seoul area. A multiple-choice typed questionnaire was designed for estimating five physical quantities such as length, mass, speed, volume, and density. The answers were analyzed through dimension of quantity, size of object, students' grade and their gender. In the results, more than two thirds of all participants chose the right order of magnitude in estimating length, but only around a quarter of them did so in estimating density. They had a tendency to show lower ability when they estimated order of magnitude of more complex dimensioned quantity. Moreover, students' answers had relatively wide distribution in estimating smaller sized objects. Through there was no big difference between seventh graders and ninth graders in estimation, male students where better in estimating base quantities, especially in length. However, more than half of participants did not choose the right order of magnitude in total and it showed their lack of qualitative understanding about these physical quantities and meaningless usage of unit in measuring.