• Title/Summary/Keyword: asymptotic series

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An Analysis of Panel Count Data from Multiple random processes

  • Park, You-Sung;Kim, Hee-Young
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.11a
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    • pp.265-272
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    • 2002
  • An Integer-valued autoregressive integrated (INARI) model is introduced to eliminate stochastic trend and seasonality from time series of count data. This INARI extends the previous integer-valued ARMA model. We show that it is stationary and ergodic to establish asymptotic normality for conditional least squares estimator. Optimal estimating equations are used to reflect categorical and serial correlations arising from panel count data and variations arising from three random processes for obtaining observation into estimation. Under regularity conditions for martingale sequence, we show asymptotic normality for estimators from the estimating equations. Using cancer mortality data provided by the U.S. National Center for Health Statistics (NCHS), we apply our results to estimate the probability of cells classified by 4 causes of death and 6 age groups and to forecast death count of each cell. We also investigate impact of three random processes on estimation.

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An asymptotic analysis on non-linear free vibration of squarely-reticulated circular plates

  • Nie, G.H.
    • Structural Engineering and Mechanics
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    • v.8 no.6
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    • pp.547-560
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    • 1999
  • In this paper an asymptotic iteration method is adopted to analyze non-linear free vibration of reticulated circular plates composed of beam members placed in two orthogonal directions. For the resulting linear ordinary differential equations in the process of iteration, the power series with rapid convergence has been applied to obtain an analytical solution for non-linear characteristic relation between the amplitude and frequency of the structure. Numerical examples are given, and the phenomena indicating hardening of such structures have been presented for the (immovable or movable) simply-supported and clamped circular plates.

AN ASYMPTOTIC EXPANSION FOR THE FIRST DERIVATIVE OF THE HURWITZ-TYPE EULER ZETA FUNCTION

  • MIN-SOO KIM
    • Journal of applied mathematics & informatics
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    • v.41 no.6
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    • pp.1409-1418
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    • 2023
  • The Hurwitz-type Euler zeta function ζE(z, q) is defined by the series ${\zeta}_E(z,\,q)\,=\,\sum\limits_{n=0}^{\infty}{\frac{(-1)^n}{(n\,+\,q)^z}},$ for Re(z) > 0 and q ≠ 0, -1, -2, . . . , and it can be analytic continued to the whole complex plane. An asymptotic expansion for ζ'E(-m, q) has been proved based on the calculation of Hermite's integral representation for ζE(z, q).

ESTIMATION OF SYSTEM RELIABLITY FOR REDUNDANT STRESS-STRENGTH MODEL

  • Choi, In-Kyeong
    • Journal of applied mathematics & informatics
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    • v.5 no.2
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    • pp.277-284
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    • 1998
  • The reliability and an estimate for it are derived for series-parallel and parallel-deries stress-strength model under assumption that all components are subjected to a common stress. We also obtain the asymptotic normal distribution of the estimate.

Asymptotic properties of monitoring procedure for parameter change in heteroscedastic time series models (이분산 시계열 모형에서 모수의 변화에 대한 모니터링 절차의 점근 성질)

  • Kim, Soo Taek;Oh, Hae June
    • The Korean Journal of Applied Statistics
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    • v.33 no.4
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    • pp.467-482
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    • 2020
  • We investigate a monitoring procedure for the early detection of parameter changes in location-scale time series models. We introduce a detector for monitoring procedure based on modified residual cumulative sum (CUSUM). The asymptotic properties of the monitoring procedure are established under the null and alternative hypotheses. Simulation results and data analysis are also provided for illustration.

A Note on Adaptive Estimation for Nonlinear Time Series Models

  • Kim, Sahmyeong
    • Journal of the Korean Statistical Society
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    • v.30 no.3
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    • pp.387-406
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    • 2001
  • Adaptive estimators for a class of nonlinear time series models has been proposed by several authors. Koul and Schick(1997) proposed the adaptive estimators without sample splitting for location-type time series models. They also showed by simulation that the adaptive estimators without sample splitting have smaller mean squared errors than those of the adaptive estimators with sample splitting. the present paper generalized the result in a case of location-scale type nonlinear time series models by simulation.

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Optimal Designs for Constant Stress Partially Accelerated Life Tests under Type I Censoring

  • Moon, Gyoung-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.6 no.2
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    • pp.77-83
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    • 1995
  • The inferences on a series system under the usual condition using data from constant stress partially accelerated life tests and type I censoring is studied. Two optimal designs to determine the sample proportion allocated each stress level model are also presented, which minimize the sum of the generalized asymptotic variances of maximum likelihood estimators of the failure rate and the acceleration factors and the sum of the asymptotic variances of maximum likelihood estimators of the acceleration factors for each component. Each component of a system is assumed to follow an exponenial distribution.

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PERIODOGRAM ANALYSIS WITH MISSING OBSERVATIONS

  • Ghazal M.A.;Elhassanein A.
    • Journal of applied mathematics & informatics
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    • v.22 no.1_2
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    • pp.209-222
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    • 2006
  • Estimation of the spectral measure, covariance and spectral density functions of a strictly stationary r-vector valued time series is considered, under the assumption that some of the observations are missed. The modified periodograms are calculated using data window. The asymptotic normality is studied.