• 제목/요약/키워드: Inferential method

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Aerosol Deposition and Behavior on Leaves in Cool-temperate Deciduous Forests. Part 3: Estimation of Fog Deposition onto Cool-temperate Deciduous Forest by the Inferential Method

  • Katata, Genki;Yamaguchi, Takashi;Sato, Haruna;Watanabe, Yoko;Noguchi, Izumi;Hara, Hiroshi;Nagai, Haruyasu
    • Asian Journal of Atmospheric Environment
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    • 제7권1호
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    • pp.17-24
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    • 2013
  • Fog deposition onto the cool-temperate deciduous forest around Lake Mashu in northern Japan was estimated by the inferential method using the parameterizations of deposition velocity and liquid water content of fog (LWC). Two parameterizations of fog deposition velocity derived from field experiments in Europe and numerical simulations using a detailed multi-layer atmosphere-vegetation-soil model were tested. The empirical function between horizontal visibility (VIS) and LWC was applied to produce hourly LWC as an input data for the inferential method. Weekly mean LWC computed from VIS had a good correlation with LWC sampled by an active string-fog collector. By considering the enhancement of fog deposition due to the edge effect, fog deposition calculated by the inferential method using two parameterizations of deposition velocity agreed with that computed from throughfall data. The results indicated that the inferential method using the current parameterizations of deposition velocity and LWC can provide a rough estimation of water input due to fog deposition onto cool-temperature deciduous forests. Limitations of current parameterizations of deposition velocity related to wind speed, evaporation loss of rain and fog droplets intercepted by tree canopies, and leaf area index were discussed.

공학도를 위한 논리: '발표와 토론'을 위한 논리 교수.학습 모형 (Logic for Engineers: a teaching.learning model for logic in 'Presentation and Discussion')

  • 양은석
    • 논리연구
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    • 제13권2호
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    • pp.83-116
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    • 2010
  • 이 글에서 우리는 토론 교육 특히 공학도를 위한 토론 교육에 필요한 논리 교수 학습 모형 을 제공한다. 이를 위하여 먼저 기존에 사용되고 있는 토론 관련 교재의 논증 개념과 논증 모형을 비판적으로 검토한다. 다음으로 토론에 필요한 기본 논증과 이에 대한 훈련 모형을 제공한다. 마지막으로 이공계 학생들 특히 공대 학생들을 위한 논증 방식 특히 토론에 사용될 논증 방식으로 가설 추론과 최선의 선택으로의 추론 모형을 제공한다.

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A Naive Multiple Imputation Method for Ignorable Nonresponse

  • Lee, Seung-Chun
    • Communications for Statistical Applications and Methods
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    • 제11권2호
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    • pp.399-411
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    • 2004
  • A common method of handling nonresponse in sample survey is to delete the cases, which may result in a substantial loss of cases. Thus in certain situation, it is of interest to create a complete set of sample values. In this case, a popular approach is to impute the missing values in the sample by the mean or the median of responders. The difficulty with this method which just replaces each missing value with a single imputed value is that inferences based on the completed dataset underestimate the precision of the inferential procedure. Various suggestions have been made to overcome the difficulty but they might not be appropriate for public-use files where the user has only limited information for about the reasons for nonresponse. In this note, a multiple imputation method is considered to create complete dataset which might be used for all possible inferential procedures without misleading or underestimating the precision.

Analysis of Statistical Methods Currently used in Toxicology Journals

  • Na, Jihye;Yang, Hyeri;Bae, SeungJin;Lim, Kyung-Min
    • Toxicological Research
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    • 제30권3호
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    • pp.185-191
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    • 2014
  • Statistical methods are frequently used in toxicology, yet it is not clear whether the methods employed by the studies are used consistently and conducted based on sound statistical grounds. The purpose of this paper is to describe statistical methods used in top toxicology journals. More specifically, we sampled 30 papers published in 2014 from Toxicology and Applied Pharmacology, Archives of Toxicology, and Toxicological Science and described methodologies used to provide descriptive and inferential statistics. One hundred thirteen endpoints were observed in those 30 papers, and most studies had sample size less than 10, with the median and the mode being 6 and 3 & 6, respectively. Mean (105/113, 93%) was dominantly used to measure central tendency, and standard error of the mean (64/113, 57%) and standard deviation (39/113, 34%) were used to measure dispersion, while few studies provide justifications regarding why the methods being selected. Inferential statistics were frequently conducted (93/113, 82%), with one-way ANOVA being most popular (52/93, 56%), yet few studies conducted either normality or equal variance test. These results suggest that more consistent and appropriate use of statistical method is necessary which may enhance the role of toxicology in public health.

추리통계학을 이용한 고속철도 승차감 평가에 대한 고찰 (Discussion for Ride Evaluation of High Speed Train by Using Inferential Statistics)

  • 황희수;김석원;박찬경;목진용;김기환;김영국
    • 한국철도학회논문집
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    • 제11권6호
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    • pp.543-549
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    • 2008
  • 철도 교통은 다른 교통수단에 비해 승객과 화물을 많이 수송할 수 있을 뿐만 아니라 안전성, 정시성(定時性) 및 환경 친화성 등의 장점을 갖고 있다. 철도를 다른 교통수단과의 경쟁력을 강화시키기 위해서는 열차의 속도 및 여객수송의 품질 향상 등이 필요하다. 특히, 승객이 여객수송의 품질에 대해 최종적으로 평가한다는 점을 감안할 때 승차감을 일정한 수준이상으로 향상시키는 것이 필수적이다. 일반적으로 철도차량에 대한 승차감은 차량의 진동 가속도를 측정한 후 인간의 등가 감응량으로 정량화시켜 평가하는 방법을 사용한다. 본 논문에서는 UIC 513R 규격에 따라 측정된 한국형 고속열차의 승차감 지수를 t-검정, 분산분석(ANOVA), 회귀분석 등과 같은 추리통계적인 방법론을 적용하여 분석 및 평가하고자 한다.

간섭 전류 치료의 자극부위에 따른 활력징후의 변화 (The Change of the Vital Sign by the Variables of Stimulated Areas in Interferential Current Treatment)

  • 박영한
    • 대한물리치료과학회지
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    • 제16권3호
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    • pp.1-9
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    • 2009
  • Background: The purpose of this study is to have examined the influence on the blood circulation by comparing the differences between stimulating the sympathetic ganglion and the muscle group among the stimulation variables in interferential current stimulation. Method: The object of the study is the twenties(M=8, F=12), who are in great condition and have no pathological report for the blood circulation influence. The intensity of the inferential current stimulation is the medium degree, 100 bps constant current, which is the comfort and degree to confirm the muscle contraction. The areas stimulated are the stellate ganglion area in the seventh cervical vertebrae and the forearm muscle area. Results: We have made sure that there is no change in blood pressure and pulse and that the change in the skin temperature occurred highly. Conclusion: In considering the change of the blood circulation in case of stimulation area by the inferential current stimulation, we have seen that stimulating the sympathetic ganglion area is more effective than stimulating muscle area directly.

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ON BAYESIAN ESTIMATION AND PROPERTIES OF THE MARGINAL DISTRIBUTION OF A TRUNCATED BIVARIATE t-DISTRIBUTION

  • KIM HEA-JUNG;KIM Ju SUNG
    • Journal of the Korean Statistical Society
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    • 제34권3호
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    • pp.245-261
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    • 2005
  • The marginal distribution of X is considered when (X, Y) has a truncated bivariate t-distribution. This paper mainly focuses on the marginal nontruncated distribution of X where Y is truncated below at its mean and its observations are not available. Several properties and applications of this distribution, including relationship with Azzalini's skew-normal distribution, are obtained. To circumvent inferential problem arises from adopting the frequentist's approach, a Bayesian method utilizing a data augmentation method is suggested. Illustrative examples demonstrate the performance of the method.

MSET PERFORMANCE OPTIMIZATION THROUGH REGULARIZATION

  • HINES J. WESLEY;USYNIN ALEXANDER
    • Nuclear Engineering and Technology
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    • 제37권2호
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    • pp.177-184
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    • 2005
  • The Multivariate State Estimation Technique (MSET) is being used in Nuclear Power Plants for sensor and equipment condition monitoring. This paper presents the use of regularization methods for optimizing MSET's predictive performance. The techniques are applied to a simulated data set and a data set obtained from a nuclear power plant currently implementing empirical, on-line, equipment condition monitoring techniques. The results show that regularization greatly enhances the predictive performance. Additionally, the selection of prototype vectors is investigated and a local modeling method is presented that can be applied when computational speed is desired.

간섭전류 자극 방법에 따른 말초혈류의 변화 (The change of the peripheral blood circulation by the method of interferential current stimulation)

  • 박영한;황경옥
    • 대한물리치료과학회지
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    • 제18권3호
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    • pp.87-92
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    • 2011
  • Purpose : The purpose of this study is to have examined the influence on the blood circulation by comparing the differences between stimulating the sympathetic ganglion and the muscle group among the stimulation variables in interferential current stimulation and to have found out the most effective stimulating mode for the improvement the peripheral blood circulation in the interferential current stimulation. Method : The subjects of the study is the men and women in the twenties, who are in great condition and have no pathological report for the blood circulation influence. The intensity of the inferential current stimulation is the medium degree, 100 bps constant current, which is the comfort and overt degree to confirm the muscle contraction. The areas stimulated by the interferential current stimulation are the stellate ganglion area in the seventh cervical vertebrae and the forearm muscle area. The stimulating time is twenty minutes long. After stimulating the two areas, the change of the blood circulation has been measured. Results : Both stimulating the sympathetic ganglion and stimulating the muscle, before and after interferential current stimulation, we have seen that the amount of blood circulation was increased significantly and statistically in both two groups(p<.01) and that the amount of blood circulation was increased significantly and statistically in the case of stimulating the sympathetic ganglion(p<.01). Conclusion : The conclusion we received that inferential current stimulation had the clear influence on increasing the peripheral blood circulation. And stimulating the sympathetic ganglion area is more effective than stimulating muscle area directly.

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Bootstrapping Regression Residuals

  • Imon, A.H.M. Rahmatullah;Ali, M. Masoom
    • Journal of the Korean Data and Information Science Society
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    • 제16권3호
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    • pp.665-682
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    • 2005
  • The sample reuse bootstrap technique has been successful to attract both applied and theoretical statisticians since its origination. In recent years a good deal of attention has been focused on the applications of bootstrap methods in regression analysis. It is easier but more accurate computation methods heavily depend on high-speed computers and warrant tough mathematical justification for their validity. It is now evident that the presence of multiple unusual observations could make a great deal of damage to the inferential procedure. We suspect that bootstrap methods may not be free from this problem. We at first present few examples in favour of our suspicion and propose a new method diagnostic-before-bootstrap method for regression purpose. The usefulness of our newly proposed method is investigated through few well-known examples and a Monte Carlo simulation under a variety of error and leverage structures.

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