• 제목/요약/키워드: regression law

검색결과 269건 처리시간 0.024초

COMPLETE CONVERGENCE FOR WEIGHTED SUMS OF AANA RANDOM VARIABLES AND ITS APPLICATION IN NONPARAMETRIC REGRESSION MODELS

  • Shen, Aiting;Zhang, Yajing
    • 대한수학회지
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    • 제58권2호
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    • pp.327-349
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    • 2021
  • In this paper, we main study the strong law of large numbers and complete convergence for weighted sums of asymptotically almost negatively associated (AANA, in short) random variables, by using the Marcinkiewicz-Zygmund type moment inequality and Roenthal type moment inequality for AANA random variables. As an application, the complete consistency for the weighted linear estimator of nonparametric regression models based on AANA errors is obtained. Finally, some numerical simulations are carried out to verify the validity of our theoretical result.

시설딸기 주요 비행해충의 황색끈끈이트랩 이용 효율적인 발생예찰 (Efficient Occurrence Monitoring by Yellow Sticky Traps for Major Flying Pests in Strawberry Greenhouses)

  • 양철준;송정흡;양영택;김효정;송민아;좌창숙
    • 한국응용곤충학회지
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    • 제56권3호
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    • pp.309-314
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    • 2017
  • 시설딸기 주요 비행 해충인 꽃노랑총채벌레 Frankliniella occidentalis와 목화진딧물 Aphis gossypii 유시충, 온실가루이 Trialeurodes vaporarium에 대해 발생초기 파악을 위한 황색끈끈이트랩 이용기술을 규명하였다. 제주지역 농가 재배 3개소에서 5개년 동안(2013~2017년) 재배 전 기간(9월~이듬해 5월)에 걸쳐 조사한 트랩자료를 이용 분석하였다. 해충의 공간분포 특성은 일반적으로 이용하고 있는 Taylor's power law와 Iwao's patchiness regression으로 분석한 결과 대상 해충 모두 집중분포를 하고 있었다. 두 회귀식 중 꽃노랑총채벌레와 목화진딧물 유시충은 Taylor's power law이, 온실가루이는 Iwao's patchiness regression이 공간분포 특성을 잘 설명하고 있었다. 트랩당 평균밀도와 최고밀도, 11마리 이상 잡힌 트랩 비율 간에는 높은 상관관계를 갖고 있었다. 트랩당 평균 밀도 4.0마리를 추정에 필요한 최소 트랩수는 꽃노랑총채벌레 13개, 목화진딧물 유시충 11개, 온실가루이 10개이었다. 고정 정확도 0.25 수준에서 3종 해충의 Taylor's power law과 Iwao's patchiness regression 상수를 이용하여 축차표본조사 중지선을 구하였다.

라울의 법칙과 다중회귀분석법에 의한 n-Nonane+n-Decane+n-Tridecane 계의 인화점 계산 (The Calculation of Flash Point for n-Nonane+n-Decane+n-Tridecane System by Raoult's Law and Multiple Regression Analysis)

  • 하동명;이성진
    • 한국가스학회지
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    • 제22권2호
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    • pp.52-58
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    • 2018
  • 가연성 액체 혼합물의 화재와 폭발의 위험성을 규정하는 가장 중요한 성질 중 하나는 인화점이다. 본 논문에서는 삼성분계 액체 혼합물인, n-nonane+n-decane+n-tridecane 계의 인화점을 Seta flash 밀폐식 장치를 사용하여 측정하였다. 실험값은 라울의 법칙을 이용한 방법과 다중회귀분석법에 의해 계산된 값들과 비교되었다. 라울의 법칙에 의한 계산된 결과의 절대평균오차는 $0.6^{\circ}C$이었다. 다중회귀분석법에 의해 계산된 결과의 절대평균 오차는 $0.4^{\circ}C$이었다. 절대평균오차에서 알 수 있듯이 다중회귀분석법에 의한 계산값이 라울의 법칙에 의한 계산값에 비해 측정값을 잘 모사하였다.

온주밀감에서 률응애의 공간분포분석 및 표본추출법 (Dispersion Indices and Sequential Sampling Plan for the Citrus Red Mite, Panonychus citri (McGregor) (Acari: Tetranychidae) on Satsuma Mandarin on Jeju Island)

  • 송정흡;이창훈;강상훈;김동환;강시용;류기중
    • 한국응용곤충학회지
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    • 제40권2호
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    • pp.105-109
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    • 2001
  • 귤응애의 예찰방법을 개발하기 위하여 제주지역의 온주밀감원에서 귤응애 분산형태에 대해 2개년(1999~2000년)에 걸쳐 잎 표본에 대하여 각 조사일에 평균밀도를 조사하였다. Taylor's power law와 Iwao's patchiness regression을 이용하여 분산지수를 비교하였으며, 잎 표본 조사에서는 일반적으로 Taylor's power law가 Iwao's patchiness regression보다 평균-분산 관계를 더 잘 나타내었다. Taylor's power law의 기울기와 절편은 조사한 포장 간에 차이가 없었으며, 여기에서 얻어진 상수값을 이용하여 잎 표본 조사에 의한 귤응애 약 .성충에 대한 고정정확도수준에서의 표본조사법을 개발하였다. 이 조사법에 대해 resampling 기법을 이용하여 독립된 4개의 조사자료를 이용하여 분석한 결과 실질 고정정확도(D)값이 요구되는 D값보다 항상 낮았으며, 나무당 귤응애 밀도가 8마리 이상에서 필요한 조사 나무수는 18주보다 작았다.

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Issues on Particular Market Situation to Calculate Dumping Margin of Korean Steel Products by the USA

  • Wang, Jingjing;Choi, Chang Hwan
    • Journal of Korea Trade
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    • 제25권1호
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    • pp.89-111
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    • 2021
  • Purpose - The U.S. Trade Preference Expansion Act (TPEA) of 2015 enables the US Department of Commerce (DOC) to inflate dumping margin when the particular market situation (PMS) exists in the exporter's home market. DOC applied PMS provisions to the steel products from Korea. This paper analyzes whether DOC's calculation by using the regression analysis is consistent with WTO rules. Design/methodology - This paper analyzes the PMS application in law and regression analysis that extends the data period from 10 years to 18 years using the same economic model with DOC, and changes the country group according to the quantities of steelmaking capacity. Findings - Results show that DOC's argument conflating the sales-based with cost-based PMS designed to inflate dumping margins might not be consistent with WTO Antidumping Agreement Article 2.2 and 2.2.1.1 in which costs shall normally be calculated on the basis of records kept by the exporter, providing generally accepted accounting principles and reasonably reflection of the costs and PMS that exists in the Korean steel product markets. Even if it will be consistent, DOC's calculated margin by the regression analysis using a 10-year data is a big gap (5 times) compared with an 18-year data projection and different countries' data through the same methodology, which is a huge gap of regression coefficient. It means that dumping margin would be very wide range from 7.8% to 38.54% and unstable to calculate. Inflating dumping margin by DOC using regression analysis would not only be inconsistent with WTO rules, but also projection result is unreliable. Originality/value - Literature papers have mainly analyzed WTO law itself. This paper however, would be the first attempt to analyze the DOC's new way of dumping margin calculation in both manners of law and an empirical methodology perspective at the same time.

며느리가 인지한 고부갈등과 대처행동에 관한 연구 (A study on Conflict perceived by daughters-in-law and Their coping Behavior)

  • 이정연
    • 가정과삶의질연구
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    • 제8권2호
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    • pp.135-146
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    • 1990
  • The purpose of this study is to investigate the relation between the conflict perceive by daughters-in-law and their coping behavior. The statistical procedures used were frequency, t-test, multiple regression, and factor analysis. The major finding are as follows; 1) The conflict perceived by daughters -in-law is not very high, but , in terms of scolding, discrimination, objection to visiting the parent home there are some conflict found. 2) The coping scale is composed of 9 factors by 27 items and adaptation to reality is the main factor. 3) Collision with mother-in-law, avoidance, self-blame, age, the attitude of mother-in-law about her son's marriage are proved to be influential variables of the degree of the conflict perceived by daughters-in-law. 4) Reanalysis is perhaps the significant coping pattern to improve the relation with mother-in-law.

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다문화가정의 고부만족도, 문화적응스트레스 및 스트레스 대처전략이 노인 우울에 미치는 영향 (Effects of Satisfaction Level in the Relationship between Mother-in-law and Daughter-in-law, Acculturative Stress and Stress Coping Strategies on Elderly Depression in Multi-cultural Families)

  • 정은숙
    • 가정간호학회지
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    • 제24권2호
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    • pp.133-141
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    • 2017
  • Purpose: This descriptive study aims to analyze the effects of the satisfaction level in the relationship between mother-in-law and daughter-in-law, conflicts between them, acculturative stress and stress coping strategies on elderly depression in multi-cultural families. Methods: The survey was conducted on 89 mothers-in-law, aged 65 or older, in multi-cultural families with a foreign daughter-in-law. Data were collected through structured questionnaires, and then were used to conduct t-test, ANOVA, correlation and multiple regression analyses using the statistical program SPSS 21.0. Results: This study found several factors contributing to depression of mothers-in-law in multi-cultural families. Those factors include living alone without a spouse, poor health, a high level of perceived discrimination and a passive reaction in terms of stress coping strategies. Conclusion: A sense of discrimination perceived by the mothers-in-law having a foreign daughter-in-law implies that the people around them and the community should make efforts to reject distorted perspectives and remove prejudice against foreign daughters-in-law. In addition, the mothers-in-law should receive education and training to use more active and positive stress coping strategies in a stressful situation with the foreign daughter-in-law.

Generalization of Road Network using Logistic Regression

  • Park, Woojin;Huh, Yong
    • 한국측량학회지
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    • 제37권2호
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    • pp.91-97
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    • 2019
  • In automatic map generalization, the formalization of cartographic principles is important. This study proposes and evaluates the selection method for road network generalization that analyzes existing maps using reverse engineering and formalizes the selection rules for the road network. Existing maps with a 1:5,000 scale and a 1:25,000 scale are compared, and the criteria for selection of the road network data and the relative importance of each network object are determined and analyzed using $T{\ddot{o}}pfer^{\prime}s$ Radical Law as well as the logistic regression model. The selection model derived from the analysis result is applied to the test data, and road network data for the 1:25,000 scale map are generated from the digital topographic map on a 1:5,000 scale. The selected road network is compared with the existing road network data on the 1:25,000 scale for a qualitative and quantitative evaluation. The result indicates that more than 80% of road objects are matched to existing data.

Price Monitoring Automation with Marketing Forecasting Methods

  • Oksana Penkova;Oleksandr Zakharchuk;Ivan Blahun;Alina Berher;Veronika Nechytailo;Andrii Kharenko
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.37-46
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    • 2023
  • The main aim of the article is to solve the problem of automating price monitoring using marketing forecasting methods and Excel functionality under martial law. The study used the method of algorithms, trend analysis, correlation and regression analysis, ANOVA, extrapolation, index method, etc. The importance of monitoring consumer price developments in market pricing at the macro and micro levels is proved. The introduction of a Dummy variable to account for the influence of martial law in market pricing is proposed, both in linear multiple regression modelling and in forecasting the components of the Consumer Price Index. Experimentally, the high reliability of forecasting based on a five-factor linear regression model with a Dummy variable was proved in comparison with a linear trend equation and a four-factor linear regression model. Pessimistic, realistic and optimistic scenarios were developed for forecasting the Consumer Price Index for the situation of the end of the Russian-Ukrainian war until the end of 2023 and separately until the end of 2024.