• 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 Data and Information Science Society
• /
• v.18 no.4
• /
• pp.1171-1177
• /
• 2007

We consider estimation of the right-tail probability in a log-Laplace random variable, As we derive the density of ratio of two independent log-Laplace random variables, the k-th moment of the ratio is represented by a special mathematical function. and hence variance of the ratio can be represented by a psi-function.

• Journal of the Korean Data and Information Science Society
• /
• v.20 no.1
• /
• pp.191-202
• /
• 2009

In this study, we drive the one dimensional marginal transform function, probability density function and probability distribution function for the random variables $T_{{\xi}N}$ (Time taken by the servers during the vacations), ${\xi}_N$(Number of vacations taken by the servers) and ${\eta}_N$(Number of customers or units arrive in the system) by controlling the variability of two random variables simultaneously.

• Journal of the Korean Data and Information Science Society
• /
• v.20 no.5
• /
• pp.933-939
• /
• 2009

The bivariate data in clinical research fields often has two types of failure times, which are mark variable for the first failure time and the final failure time. This paper showed how to generate bootstrap data to get Bayesian estimation for the joint distribution of bivariate survival times. The observed data was generated by Frank's family and the fake date is simulated with the Gamma prior of survival time. The bootstrap data was obtained by combining the mimic data with the observed data and the simulated fake data from the observed data.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.255-256
• /
• 2008

Distributed localization algorithms are required for large-scale wireless sensor network applications. In this paper, we introduce an efficient algorithm, termed weighted neighbor-node distribution localization(WNDL), which emphasizes simple refinement and low system-load for low-cost and low-rate wireless sensors. We inspect WNDL algorithm through MATLAB simulation.

• Proceedings of the IEEK Conference
• /
• 1999.06a
• /
• pp.500-503
• /
• 1999

In this paper, we analyze weight distributions of neural networks. If we construct a vector containing all weights of a neural network, then training process can be viewed as finding a solution point in the weight space. In order to obtain insight into the training process of neural networks, we investigate the distribution of the solution points in the weight space Experiments provide some interesting results, showing that solution points tend to form clusters in the weight space and the information may be used to speed up the training process.

• Journal of the Korean Data and Information Science Society
• /
• v.15 no.4
• /
• pp.825-835
• /
• 2004

In this paper, we investigate the estimation of the value at risk(VaR) when stock prices are subjected to price limits. The mixture of probability mass functions and beta density functions is proposed to derive the distribution of asset returns. The analyses of real data show that the proposed distribution is appropriate to explain the VaR when the price limits exist in the data.

• International Commerce and Information Review
• /
• v.10 no.3
• /
• pp.391-406
• /
• 2008

Recently, U.S. beef completely is opened and a point of present time, beef import market is increased, the high branding and high quality of Korea's beef cattle is urgent for a brand-name of Korea's Meat got competitive superiority in world market. Also, for that situation, Producers and Distributors request successful marketing strategy establishment and in the concrete, I present a counterplan strategy based on 4P(price, product differentiation, sales promotion, distribution) strategy.

• Journal of Korea Society of Industrial Information Systems
• /
• v.11 no.1
• /
• pp.1-6
• /
• 2006

Queueing models are good models for fragments of communication systems and networks, so their investigation is interesting for theory and applications. Theses queues may play an important role for the validation of different decomposition algorithms designed for investigating more general queueing networks. So, in this paper we illustrate that the batch size distribution affects the loss probability, which is the main performance measure of a finite buffer queues.

• Journal of the Korean Society for Library and Information Science
• /
• v.24
• /
• pp.53-71
• /
• 1993

In 1926, Alfred Lotka examined the frequency distribution of scientific productivity of chemists and physicists. He observed that the number of persons making n contributions is about $1/ n^2$ of those making one and the proportion of all contributions that make a single contribution is about $60\%$. Investigator studing the applicability of 'Lotka's Law' to Mathematics and to Mechanical engineers have fitted Lotka's Law and concluded that the law applied to these subject fields.