• Journal of the Korean Geophysical Society
• /
• v.9 no.3
• /
• pp.151-158
• /
• 2006

Highly accurate surface velocity estimation using modern geodetic techniques plays very important role in the geological and geophysical interpretation. Researches with GPS are ongoing in many countries of the world. This study aims to estimate the amount of crustal deformation and the direction of deformation in the Korean Peninsula and in its neighbor. We used GAMIT that is a comprehensive GPS analysis package developed at MIT. Then, a Global Kalman filter called GLOBK is used to combine the results from GAMIT and to estimate the relative and absolute velocity vector for the crustal deformations. To estimate station velocity accuracy and reliably, it is extremely important to pay great attention to the reference frame. Firstly, using the Suwon (SUWN) of Eurasian plate as main frame, we estimate the relative amount of crustal deformation and a direction of Eurasian plate and North American plate, Secondly, using ITRF 2000 as main frame, we estimate the absolute crustal deformation of Eurasian plate and North American plate. The continent of Eurasian where has the Korean Peninsula deforms 33.36 mm per year to East-Southeast (ESE), and Japanese Tsukuba (TSKB) in North American plate deforms to South-Southwest (SSW). Finally, the Korean Peninsula is approaching the Japanese Island and the rate of horizontal crustal deformation between the Suwon and the Tsukuba is about 31.98 mm per year in the moving direction of N85.9oW (274.1o) for the past three years.

• Journal of Forest and Environmental Science
• /
• v.35 no.1
• /
• pp.1-5
• /
• 2019

Species diversity is one of the most important indices that used to evaluate the sustainability of forest communities. In the present study, three variables including number of individuals (frequency of species), basal area and volume of tree species were compared to estimate tree species diversity in broadleaves forests of Iran. Based on systematic random design, 30 plots (circle plot, $1000m^2$) was selected. Type of species, number of species, DBH and height of trees were measured. Simpson (1-D), Hill ($N_2$), Shannon-Wiener (H'), Mc Arthur ($N_1$), Smith-Wilson ($E_{var}$) and Margalef ($R_1$) indices used to estimate tree species diversity. Species diversity was calculated in each plot. ANOVA test showed that there was a significant difference between of three variables used for estimation of species diversity. Number of trees variable has more precision than basal area and volume variables to estimate of species diversity. But Duncan test revealed that there were significant difference between of basal area and volume variables with number of trees. Therefore, basal area and volume variables were selected as more suitable variables in order to estimate of biodiversity indices in northern forests of Iran.

• Communications for Statistical Applications and Methods
• /
• v.10 no.2
• /
• pp.423-432
• /
• 2003

The data observed at different positions are called the estimate of interested variable at new observation point on the Kriging utilize the space estimate technique, in which case there is correlation spatially. In this paper we provide the estimate for Variogram and Kriging methods as a field of kriging theory and dealt with actually measured data. And at the same time we forecast the amount of ozone that was not measured at this point by Kriging method and compared Ordinary Kriging method with Inverse Distance Kriging method.

• Communications for Statistical Applications and Methods
• /
• v.14 no.2
• /
• pp.317-327
• /
• 2007

In this paper, we propose a simple estimate of relative risk based on a functional equation. We derive the asymptotic normality with a restricted condition. Then we discuss some interesting features as concluding remarks. Finally we comment briefly about application of the estimate to the testing problems and compare our estimate with that of Begun through simulation study.

• Journal of information and communication convergence engineering
• /
• v.3 no.3
• /
• pp.119-121
• /
• 2005

This paper aims to estimate the delay time of multiple signals in a multi-path environment. It also seeks to carry out a comparative analysis with the existing delay time under the proposed algorithm to develop a new algorithm that applies the space average method in a MUSIC algorithm. Unlike the existing delay time estimation algorithm, the developed algorithm was able to estimate the delay time in 5ns low. Therefore, the algorithm proposed in this paper improved the existing delay time estimated algorithm.

• Journal of the Korean Statistical Society
• /
• v.24 no.1
• /
• pp.161-181
• /
• 1995

The goal of this article is to study the performances of various empirical Bayes simultaneous interval estimates for all pairwise comparisons. The considered empirical Bayes interval estimaters are those based on unbiased estimate, a hierarchical Bayes estimate and a constrained hierarchical Bayes estimate. Simulation results for small sample cases are given and an illustrative example is also provided.

• Bulletin of the Korean Mathematical Society
• /
• v.53 no.4
• /
• pp.1123-1148
• /
• 2016

The aim of this note is to provide detailed proofs for local estimates near the boundary for weak solutions of second order parabolic equations in divergence form with time-dependent measurable coefficients subject to Neumann boundary condition. The corresponding parabolic equations with Dirichlet boundary condition are also considered.

• Journal of the Korean Statistical Society
• /
• v.18 no.2
• /
• pp.118-124
• /
• 1989

In the one-way random effect model, we often estimate the variance components by the ANOVA method and then estimate the population mean. Whe there are only two distint group sizes, the conventional mean estimator is represented as a weighted average of two normal means with weights being the function of variance component estimators. In this paper, we will study a method which can compute the exact variance of the mean estimator when we set the negative variance component estimate to zero.

• Communications for Statistical Applications and Methods
• /
• v.4 no.1
• /
• pp.177-183
• /
• 1997

A data-adaptive order selection procedure is proposed for local polynomial nonparametric regression. For each given polynomial order, bias and variance are estimated and the adaptive polynomial order that has the smallest estimated mean squared error is selected locally at each location point. To estimate mean squared error, empirical bias estimate of Ruppert (1995) and local polynomial variance estimate of Ruppert, Wand, Wand, Holst and Hossjer (1995) are used. Since the proposed method does not require fitting polynomial model of order higher than the model order, it is simpler than the order selection method proposed by Fan and Gijbels (1995b).

• East Asian mathematical journal
• /
• v.31 no.5
• /
• pp.635-652
• /
• 2015

It is shown that for a general Haar shift operator, and a weight in the $A_2$ weight class, we establish the weighted norm estimate which linearly depends on $A_2$-characteristic $[w]_{A_2}$. Although the result is now well known, we introduce the new method, which is called the iterated Bellman function method, to provide the estimate.