• Environmental and Resource Economics Review
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• v.19 no.3
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• pp.571-595
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• 2010

This research applies an panel data stationarity and stochastic convergence test developed by Carrion-i-Silvestre et al. (2005), which has the advantage of considering multiple structural breaks and the presence of cross-section dependence in order to investigate the hypothesis that relative emission $CO_2$ per capita stochastically converge for 11 Asian countries from 1971~2007. We find that relative emission $CO_2$ per capita is stationary after the structural breaks and cross-section dependence are introduced into the model. We also investigate whether Environmental Kuznets Curve (EKC) hypothesis exists in 11 Asian countries. For EKC test, using the panel cointegration tests of Banerjee and Carrion-i-Silvestre (2006) and Westerlund and Edgerton(2007), we find that relative emission $CO_2$ per capita and relative GDP per capita are cointegrated. However EKC hypothesis in 11 Asian countries is not supported.

• Journal of Advanced Navigation Technology
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• v.1 no.1
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• pp.35-46
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• 1997

Over last decade Multiple Target Tracking (MTT) has been the subject of numerous presentations and conferences [1979-1900]. Various approaches have been proposed to solve the problem. Representative works in the problem are Nearest Neighbor (NN) method based on non-probabilistic data association (DA), Multiple Hypothesis Test (MHT) and Joint Probabilistic Data Association (JPDA) as the probabilistic approaches. These techniques have their own advantages and limitations in computational requirements and in the tracking performances. In this paper, the three promising algorithms based on the NN standard filter, MHT and JPDA methods are presented and their performances against simulated multiple maneuvering targets are compared through numerical simulations.

• Journal of Advanced Navigation Technology
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• v.16 no.4
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• pp.593-601
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• 2012

This paper develops and analyzes a new multiple-hypothesis Receiver Autonomous Integrity Monitoring (RAIM) algorithm as a candidate for future standard architecture. The proposed algorithm can handle simultaneous multiple failures as well as a single failure. It uses measurement residuals and satellite observation matrices of several consecutive epochs for Failure Detection and Exclusion (FDE). The proposed algorithm redueces the Minimum Detectable Bias (MDB) via the Relative RAIM (RRAIM) scheme. Simulation results show that the proposed algorithm can detect and filter out multiple failures in tens of meters.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.1
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• pp.154-160
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• 2012

This paper reviewed the two proposed hypotheses. The first hypothesis is to test the relationship between knowledge management and incremental innovation, and the second hypothesis is to test the moderating effect of firm-size on that relationship. Data were gathered from 434 employees in service industry, and multiple regression analysis was used to test two proposed hypotheses. In the first hypothesis, it was appeared that knowledge acquisition and knowledge transfer have positive effects on all incremental innovation factors (process innovation, operation innovation, service innovation). In the second hypothesis, it was appeared that firm-size has an positive interaction effect on incremental innovation in knowledge transfer, but not in knowledge acquisition. It means that knowledge transfer has more positive effect on incremental innovation in large firm-size than in small firm-size.

• Research in Community and Public Health Nursing
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• v.5 no.1
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• pp.30-52
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• 1994

The purpose of this study is to look into the health behavior and utilization of health service, and the factors which have influence on both of them. In order to research them, it visited home and interviewed selecting randomly 300 subjects who can understand the purpose of this study, want to participate and are possible to interview. Questionnaries survey was administered during the period from April.6 to May.12. 1993. Collected materials analysis were dealt with a method of SPSS PC Program and used percentage. Mean, SD. t-test, $X^2-test$, Pearson's Correlation Coefficient, Multiple Regression and One-way ANOVA for hypothesis verification. The results of this study are as follows. 1. The hypothesis is that there will be a significant difference in performance degree of health behavior by general characteristics(sex, age, educational background, occupation, religion) of subjects. According to the results, it turned out that sex(P=.035), educational background(P=.0432), and occupation(P=.440) appeared to be a significant difference as P<.05. 2. The hypothesis that the more interesting degree on health of subjects have, the better they performance for health behavior was supported (r=.2552, P<.001). 3. The hypothesis that the healthier subjects are, the better they performance for health behavior was supported(r=.5262, P<.001). The highest correlation was seen between the healthier subjects and health behavior. According to the results of multiple regression analysis with interesting degree on health and healthier subjects as dependent variables, it turned out that R2 was 35% and had a significant difference. 4. The hypothesis is that there will be a difference in the utilization of health service by general characteristics(sex, age, educational background, occupation, religion). According to. the results, it showed that educational background (dental clinic), religion(pharmacy) had an influence on the frequency of utilization of facilities (P<.05).

• Journal of Korean Academy of Nursing
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• v.17 no.3
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• pp.218-226
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• 1987

This descriptive-correlational study was undertaken in order to examine if there were relationships between family support, compliance and life satisfaction in chronic arthritis patients. The sampling method was a non-probability, purposive sampling technique. The participants of this study were 92 volunteer adults. 1) who have been diagnosed as having chronic arthritis and 2) who were at the medical out patient clinic of one university hospital in Seoul between April 27th to May 12th 1987. The instruments used for this study were the Family Support Scale developed by Kang Hyun Sook, a Compilance Scale developed by the researcher and the Life-Satisfaction Index-Z developed by Wood et.al. Analysis of data was done using t-test, ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression Analysis. The results of study were as follows; Hypothesis I; “The higher the family support, the higher the compliance” was accepted. (r＝.2604, p＜.01) Hypothesis II; “The higher the compliance, the higher the life satisfaction,” was rejected. (r＝.1663, p＞0.5) Hypothesis III; “The higher the family support, the higher the life satisfaction” was accepted. (r＝.3914, p＜.01) In addition, by using Stepwise Multiple Regression Analysis it was determined that the main influencing factors on the life satisfaction were family support, the number of inflammatory joints, compliance and pain level. These 4 main variables made it possible to explain 30.8% of the variance in life satisfaction. In conclusion, this study revealed that family support is an important factor that can improve compliance and life satisfaction in chronic arthritis patients.

• Journal of applied mathematics & informatics
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• v.10 no.1_2
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• pp.111-118
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• 2002

We study the influence of observations on testing a linear hypothesis using single and multiple case-deletions. The change in the F-test statistic due to case-deletions is shown to be completely determined by two externally Studentized residuals. These residuals we used for investigating the outlyingness when there are linear constraints or not. An illustrative example is given. It shows the usefulness of case-deletions.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.763-766
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• 1999

Direct-Sequence code-division multiple access(DS/CDMA) is considered by many to be a promising technology for future wireless communication networks. In this paper, we report new analysis for probability of BPSK CDMA hypothesis test in jointly distributed AWGN Rayleigh-fading received signal. In previous method, analysis is performed on AWGN or Rayleigh-faded signal in separately. In this paper, we propose model for hypothesis test system of the AWGN Rayleigh-faded received signal.

• Analyses & Alternatives
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• v.5 no.1
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• pp.3-24
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• 2021

This paper introduces a multilevel item-response-theory (IRT) model as a unifying model for hypothesis testing using legislative voting data. This paper shows that a probit or logit model is a special type of multilevel IRT model. In particular, it is demonstrated that, when a probit or logit model is applied to multiple votes, it makes unrealistic assumptions and produces incorrect coefficient estimates. The advantages of a multilevel IRT model over a probit or logit model are illustrated with a Monte Carlo experiment and an example from the U.S. House. Finally, this paper provides a practical guide to fitting this model to legislative voting data.

• The Korean Journal of Applied Statistics
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• v.14 no.2
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• pp.449-462
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• 2001

베이지안 다중 검정방법(multiple hypothesis test)은 여러 통계모형에서 성공적인 결과를 주는 것으로 알려져있다. 일반적으로, 베이지안 가설검정은 고려중인 모형에 대한 사후확률을 계산하여 가장 높은 확률은 갖는 모형을 선택하기 때문에 귀무가설의 기각여부에만 관심을 가지는 고전적인 분산분석 검정과는 달리 좀 더 구체적인 모형을 선택할 수 있는 장점이 있다. 이 논문에서는 독립이면서 로그정규분포를 따르는 K($\geq$3)개 모집단의 모수에 대한 가설 검정방법으로 O’Hagan(1995)이 제안한 부분 베이즈 요인을 이용한 베이지안 방법을 제안한다. 이 때 모수에 대한 사전분포로는 무정보적 사전분포를 사용한다. 제안한 검정 방법의 유용성을 알아보기 위하여 실제 자료의 분석과 모의 실험을 이용하여 고전적인 검정방법과 그 결과를 비교한다.