• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.13 no.9
• /
• pp.947-955
• /
• 2002

In this paper, we derive an outage probability for the Erlang capacity and the link margin respectively, calculate them with the same parameters and outage probability, and then analyze a capacity and cell coverage in city, suburban, and open area. So, the Erlang capacity is more real than in a cell, and the cell coverage can be calculated with high reliability by the margin. When the $E_b/N_o$ decreases from 7 dB to 5 dB within the outage probability of 5 %, it is observed that the capacity is increased from 18 Erlang to 31 Erlang with the same margin of 2.8 dB, then the coverage is increased to 0.4 km, 1 km, and 2.5 km in city, suburban, and open area respectively. Also if the outage probability is decreased from 5 % to 2 % in case of $E_b/N_o$ of 5 dB, the result shows a very reliable link with additional increment of 0.88 dB in the margin and a high QoS (quality of service) within decrement of 0.15 km, 0.5 km, and 1.5 km for the same areas with decrement of 3 Erlang from 31 Erlang.

• Journal of the Korean Statistical Society
• /
• v.31 no.1
• /
• pp.17-31
• /
• 2002

This paper considers noninformative priors for the power law process under failure truncation. Jeffreys'priors as well as reference priors are found when one or both parameters are of interest. These priors are compared in the light of how accurately the coverage probabilities of Bayesian credible intervals match the corresponding frequentist coverage probabilities. It is found that the reference priors have a definite edge over Jeffreys'prior in this respect.

• Journal of the Korean Data and Information Science Society
• /
• v.20 no.6
• /
• pp.1213-1223
• /
• 2009

In this paper, we develop noninformative priors for two parameter Pareto distribution. Specially, we derive Jereys' prior, probability matching prior and reference prior for the parameter of interest. In our case, the probability matching prior is only a first order matching prior and there does not exist a second order matching prior. Some simulation reveals that the matching prior performs better to achieve the coverage probability. A real example is also considered.

• Journal of Korean society of Dental Hygiene
• /
• v.15 no.1
• /
• pp.31-38
• /
• 2015

Objectives: The purpose of this study is to investigate the factors of oral health beliefs on scaling performance by national health insurance coverage in consumers. Methods: The subjects were 353 people living in Seoul, Incheon, and Gyeonggi-do from September 25 to October 20, 2013. They filled out the self-reported questionnaire after receiving informed consents. The questionnaire included 6 questions of general characteristics, 6 questions of oral health behavior, 6 questions of health insurance coverage, and 1 question of subjective oral health recognition. The oral health belief consisted of 6 questions of seriousness, 6 questions of susceptibility, 8 questions of barriers, 5 questions of benefit, and 3 questions of self-efficacy measure by Likert 5 scale. Cronbach's alpha in the study was 0.759. Data were analyzed using SPSS version 20.0 for frequency analysis, t-test, ANOVA, post-hoc Scheffe test, Pearson's correlation coefficient, and binary logistic regression. Results: The influencing factors of oral health belief model were Seriousness(${\beta}=0.091$), Self efficacy(${\beta}=-0.471$) and age(${\beta}=0.855$)(p<0.05). Those who had highly perceived seriousness and younger age tended to have probability of scaling performance. Higher self-efficacy tended to take more chance to have scaling performance probability. Conclusions: In order to cover the scaling by national health insurance, it is very important to notice the benefit of health insurance coverage of scaling to the consumers. National health insurance coverage enables the scaling practice to be easily accessible to the people. Easy access to scaling by low cost strategy can improve the oral health behavior.

• Journal of the Korean Data and Information Science Society
• /
• v.13 no.2
• /
• pp.217-226
• /
• 2002

In this paper, we derive noninformative priors for the ratio of failure rates in exponential model. A class of priors is found by matching the coverage probabilities of one-sided Baysian credible interval with the corresponding frequentist coverage probabilities. And we prove that the noninformative prior matches the alternative coverage probabilities and is a HPD matching prior up to the second order. Finally, we provide simulated freqentist coverage probabilities under the derived noninformative prior for small samples.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.10A
• /
• pp.1521-1528
• /
• 2000

In this paper we analyze the performance of a DS/CDMA system in LEO mobile satellite channels. The channel uses the Extended Suzuki model which is the product of a Rician distribution having a LOS component and a lognormal distribution due to shadowing. We assume that the signal transmitted from the satellite to the mobile undergoes the same fading for the whole coverage of signal's beam. The average bit error probabilities of double coverage system is calculated in this paper. The interference resulting from the reference satellite is calculated for mobile located in the middle of the double coverage region whereas the additive interference from next-satellite is included for mobile located in the edge of the double coverage region. The performance of the mobile's receiving signal is dependent on shadowing and the interference of the next-satellite. We can obtain an obtain an improved average bit error probability by using dual diversity over the conventional correlated receiver for similar shadowing conditions in the coverage area of the satellite channel.

• 한국데이터정보과학회:학술대회논문집
• /
• 2003.05a
• /
• pp.27-37
• /
• 2003

In this paper, we develop noninformative priors for two parameter Pareto distribution. Specially, we derive Jeffrey's prior, probability matching prior and reference prior for the parameter of interest. In our case, the probability matching prior is only a first order and there does not exist a second order matching prior. Some simulation reveals that the matching prior performs better to achieve the coverage probability. And a real example will be given.

• Journal of the Korean Statistical Society
• /
• v.36 no.1
• /
• pp.77-91
• /
• 2007

This paper considers development of noninformative priors for the familial data when the families have equal number of offspring. Several noninformative priors including the widely used Jeffreys' prior as well as the different reference priors are derived. Also, a simultaneously-marginally-probability-matching prior is considered and probability matching priors are derived when the parameter of interest is inter- or intra-class correlation coefficient. The simulation study implemented by Gibbs sampler shows that two-group reference prior is slightly edge over the others in terms of coverage probability.

• Communications for Statistical Applications and Methods
• /
• v.12 no.2
• /
• pp.395-411
• /
• 2005

In this paper, we develop the Jeffreys' prior, reference prior and the the probability matching priors for the difference of intraclass correlation coefficients in familial data. e prove the sufficient condition for propriety of posterior distributions. Using marginal posterior distributions under those noninformative priors, we compare posterior quantiles and frequentist coverage probability.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.19 no.4
• /
• pp.443-452
• /
• 2016

Current low-altitude radar system often fails to detect small unmanned aerial vehicles (UAV) because of their small radar cross section (RCS) compared with larger targets. As a potential alternative, a passive bistatic radar system has been considered. We study an optimal deployment problem for the passive bistatic radar system. We model this problem as a covering problem, and develop an integer programming model. The objective of the model is to maximize coverage of a passive bistatic radar system. Our model takes into account factors specific to a bistatic radar system, including bistatic RCS and transmitter-receiver pair coverage. Considering bistatic RCS instead of constant RCS is important because the slight difference of RCS value for small UAVs could significantly influence the detection probability. The paired radar coverage is defined by using the concept of gradual coverage and cooperative coverage to represent a realistic environment.