• Title/Summary/Keyword: Use Statistics

Search Result 2,827, Processing Time 0.025 seconds

The Development of Program for Teaching on Statistical Inference at One Population

  • Choi, Hyun-Seok
    • Journal of the Korean Data and Information Science Society
    • /
    • v.15 no.3
    • /
    • pp.543-554
    • /
    • 2004
  • In teaching statistics, the part which is very important but difficult to understand to the students is estimation and hypothesis testing. This paper introduces the developed program about estimation and hypothesis testing by using Excel Macro. This program will help learners to study and use a statistical inference conveniently, and to get a good learning effect.

  • PDF

Pre-Adjustment of Incomplete Group Variable via K-Means Clustering

  • Hwang, S.Y.;Hahn, H.E.
    • Journal of the Korean Data and Information Science Society
    • /
    • v.15 no.3
    • /
    • pp.555-563
    • /
    • 2004
  • In classification and discrimination, we often face with incomplete group variable arising typically from many missing values and/or incredible cases. This paper suggests the use of K-means clustering for pre-adjusting incompleteness and in turn classification based on generalized statistical distance is performed. For illustrating the proposed procedure, simulation study is conducted comparatively with CART in data mining and traditional techniques which are ignoring incompleteness of group variable. Simulation study manifests that our methodology out-performs.

  • PDF

A Kernel Approach to the Goodness of Fit Problem

  • Kim, Dae-Hak
    • Journal of the Korean Data and Information Science Society
    • /
    • v.6 no.1
    • /
    • pp.31-37
    • /
    • 1995
  • We consider density estimates of the usual type generated by a kernel function. By using the limit theorems for the maximum of normalized deviation of the estimate from its expected value, we propose to use data dependent bandwidth in the tests of goodness of fit based on these statistics. Also a small sample Monte Carlo simulation is conducted and proposed method is compared with Kolmogorov-Smirnov test.

  • PDF

Likelihood ratio in estimating Chi-square parameter

  • Rahman, Mezbahur
    • Journal of the Korean Data and Information Science Society
    • /
    • v.20 no.3
    • /
    • pp.587-592
    • /
    • 2009
  • The most frequent use of the chi-square distribution is in the area of goodness-of-t of a distribution. The likelihood ratio test is a commonly used test statistic as the maximum likelihood estimate in statistical inferences. The recently revised versions of the likelihood ratio test statistics are used in estimating the parameter in the chi-square distribution. The estimates are compared with the commonly used method of moments and the maximum likelihood estimate.

  • PDF

Estimation for the extreme value distribution under progressive Type-I interval censoring

  • Nam, Sol-Ji;Kang, Suk-Bok
    • Journal of the Korean Data and Information Science Society
    • /
    • v.25 no.3
    • /
    • pp.643-653
    • /
    • 2014
  • In this paper, we propose some estimators for the extreme value distribution based on the interval method and mid-point approximation method from the progressive Type-I interval censored sample. Because log-likelihood function is a non-linear function, we use a Taylor series expansion to derive approximate likelihood equations. We compare the proposed estimators in terms of the mean squared error by using the Monte Carlo simulation.

The Analysis of Electrical Accident and its Preventive Measures (전기재해 분석 및 예방대책)

  • Jeon Jun-Man;Lee Eun-Woong
    • Proceedings of the KIEE Conference
    • /
    • summer
    • /
    • pp.1112-1114
    • /
    • 2004
  • In the year 2002, 11,202 cases of electrical fires caused 462 casualties and about 58 billion won of physical damages. The electrical accidents alone caused victimized 854 people, including 87 deaths. at present, no detailed statistics about electrical fires is available. Also, there is no statistics about electric shocks and electrical equipment accidents. the electrical accidents are on the increase, proportional to the increase of electrical use. Therefore, a statistical analysis of electrical accidents is required to understand the situation and take measures to prevent similar accidents.

  • PDF

RSA Algorithm for User Authentication System

  • Song, Byung-Ho;Bae, Sang-Hyun
    • Proceedings of the KAIS Fall Conference
    • /
    • 2003.11a
    • /
    • pp.207-210
    • /
    • 2003
  • For the effective use of information in the information society, information should be protected and outflow of information by illegal users should be prevented. This study sets up user authentication policy, user authentication regulations and procedures for information protection and builds information protection key distribution center and encryption user Authentication system, which can protect information from illegal users.

  • PDF

SOME NEW ASYMMETRIC ORTHOGONAL ARRAYS

  • Aggarwal, M.L.;Budhraja, Veena
    • Journal of the Korean Statistical Society
    • /
    • v.32 no.3
    • /
    • pp.225-233
    • /
    • 2003
  • In this paper we make use of the parity check matrices of the codes based on inverting construction $Y_1$ to construct a number of new asymmetric orthogonal arrays with higher strength and higher number of levels using the method of construction of asymmetric orthogonal arrays given by Suen et al. (2001).

Edge Detection using Statistical Hypothesis Testing

  • Lim, Dong-Hoon;Sung, Sin-Hee
    • Communications for Statistical Applications and Methods
    • /
    • v.6 no.3
    • /
    • pp.893-900
    • /
    • 1999
  • We use statistical tests which are useful for two-sample problem for detecting edges in gray-level images. An edge is detected by examining changes in gray-level value between adjacent pixel neighborhoods. Some experimental results show that nonparametric detectors such as Mann-Whitney test median test and Kolmogorov-Smirnov test perform effectively in both noisy and noise-free images while parametric T test is sensitive to noise.

  • PDF

Simple Graphs for Complex Prediction Functions

  • Huh, Myung-Hoe;Lee, Yong-Goo
    • Communications for Statistical Applications and Methods
    • /
    • v.15 no.3
    • /
    • pp.343-351
    • /
    • 2008
  • By supervised learning with p predictors, we frequently obtain a prediction function of the form $y\;=\;f(x_1,...,x_p)$. When $p\;{\geq}\;3$, it is not easy to understand the inner structure of f, except for the case the function is formulated as additive. In this study, we propose to use p simple graphs for visual understanding of complex prediction functions produced by several supervised learning engines such as LOESS, neural networks, support vector machines and random forests.