• Title/Summary/Keyword: National statistics

Search Result 7,217, Processing Time 0.028 seconds

Hierarchical Bayes Analysis of Longitudinal Poisson Count Data

  • Kim, Dal-Ho;Shin, Im-Hee;Choi, In-Sun
    • Journal of the Korean Data and Information Science Society
    • /
    • v.13 no.2
    • /
    • pp.227-234
    • /
    • 2002
  • In this paper, we consider hierarchical Bayes generalized linear models for the analysis of longitudinal count data. Specifically we introduce the hierarchical Bayes random effects models. We discuss implementation of the Bayes procedures via Markov chain Monte Carlo (MCMC) integration techniques. The hierarchical Baye method is illustrated with a real dataset and is compared with other statistical methods.

  • PDF

Value at Risk Forecasting Based on Quantile Regression for GARCH Models

  • Lee, Sang-Yeol;Noh, Jung-Sik
    • The Korean Journal of Applied Statistics
    • /
    • v.23 no.4
    • /
    • pp.669-681
    • /
    • 2010
  • Value-at-Risk(VaR) is an important part of risk management in the financial industry. This paper present a VaR forecasting for financial time series based on the quantile regression for GARCH models recently developed by Lee and Noh (2009). The proposed VaR forecasting features the direct conditional quantile estimation for GARCH models that is well connected with the model parameters. Empirical performance is measured by several backtesting procedures, and is reported in comparison with existing methods using sample quantiles.

Estimation of Unknown Parameters in Optimum Allocation

  • Park, Hyeonah;Park, Seunghwan;Na, Seongryong
    • Communications for Statistical Applications and Methods
    • /
    • v.20 no.2
    • /
    • pp.137-145
    • /
    • 2013
  • The use of pooled standard deviation can reduce the efficiency loss in optimum allocation when strata standard deviations are estimated and several of them are equal. Also shown is that the pooled standard deviation is useful in optimum allocation under a multivariate setting. In addition to theoretical development, we provide the result of simulation study to support the theory.

Teaching Method of Correct Pronunciation from Formant Statistics (포먼트 통계치를 이용한 발음교정 지시 방법에 관하여)

  • Bak Il-Suh;Jo Cheol-Woo
    • Proceedings of the Acoustical Society of Korea Conference
    • /
    • spring
    • /
    • pp.69-72
    • /
    • 2004
  • In this paper, we tried to develop a vowel training assistant method using vowel formant statistics. Formant statistics were obtained from PBW set consists of 452 words from 8 persons. Then, we calculated distance from input formants to each center of vowel formant space. Based on the distance, direct ions to correct the speaker's manner of articulation, i .e. position of jaw and tongue.

  • PDF

A Lower Confidence Bound on the Probability of a Correct Selection of the t Best Populations

  • Jeong, Gyu-Jin;Kim, Woo-Chul;Jeon, Jong-Woo
    • Journal of the Korean Statistical Society
    • /
    • v.18 no.1
    • /
    • pp.26-37
    • /
    • 1989
  • When we select the t best out of k populations in the indifference zone formulation, a lower confidence bound on the probability of a correct selection is derived for families with monotone likelihood ratio. The result is applied to the normal means problem when the variance is common, and to the normal variances problem. Tables to implement the confidence bound for the normal variances problem are provided.

  • PDF

Design and Implementation of Teaching Simple Random Sampling by Using Constructivism and Information Technology

  • Han Beom Soo;Han Kyung Soo
    • Communications for Statistical Applications and Methods
    • /
    • v.12 no.1
    • /
    • pp.229-240
    • /
    • 2005
  • This study described the application of constructivism and information technology for teaching simple random sampling. We considered more student's participation, more interaction, and more flow in their introductory statistics class. In addition, we presented a web-based teaching and learning system for simple random sampling to demonstrate.

Tests for Seasonal Cointegrating Vectors

  • Seong, Byeong-C.;Cho, Sin-S.;Ahn, Sung-K.
    • Proceedings of the Korean Statistical Society Conference
    • /
    • 2003.10a
    • /
    • pp.275-279
    • /
    • 2003
  • We obtain the asymptotic distributions of tests statistics for various types of seasonal cointegration based on GRR estimators of Ahn and Cho (2003). These tests are useful in testing for restrictions about cointegrating vectors after Chi-square tests for CCI and common PCIV in Ahn and Cho (2003) or tests for the known CCI and the known PCIVs have been performed.

  • PDF

Imputation using response probabilities

  • Kim, Jae-Kwang;Park, Hyeon-Ah;Jeon, Jong-Woo
    • Proceedings of the Korean Statistical Society Conference
    • /
    • 2003.10a
    • /
    • pp.207-212
    • /
    • 2003
  • In this paper, we propose a class of imputed estimators using response probability. The proposed estimator can be justified under the response probability model and thus is robust against the failure of the assumed imputation model. We also propose a variance estimator that is justified under the response probability model.

  • PDF

Statistical Interrelationships of Job Competition between Generations

  • Kim, Tae-Ho;Jung, Jae-Hwa
    • The Korean Journal of Applied Statistics
    • /
    • v.25 no.3
    • /
    • pp.377-387
    • /
    • 2012
  • Job competition among generations has become an important social issue that has yet to be studied from an academic viewpoint. This study performs statistical tests to investigate the interrelation of employment among generations using seasonally adjusted monthly time series data. Employment by generations is not found to be strongly interrelated, even if the employment of 30-year-olds appears to affect those of 40-yearolds in some tests.

Hierarchical Bayesian Analysis for Stress-Strength Model in Normal Case

  • Lee, In-Suk;Cho, Jang-Sik;Kang, Sang-Gil
    • Journal of the Korean Data and Information Science Society
    • /
    • v.11 no.1
    • /
    • pp.127-137
    • /
    • 2000
  • In this paper, we consider hierarchical Bayesian analysis for P(Y < X) using Gibbs sampler, where X and Y are independent normal distributions with unknown means and variances, respectively. Also numerical study using real data is provided.

  • PDF