• Title/Summary/Keyword: Q statistics

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ON CHARACTERIZING THE GAMMA AND THE BETA q-DISTRIBUTIONS

  • Boutouria, Imen;Bouzida, Imed;Masmoudi, Afif
    • Bulletin of the Korean Mathematical Society
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    • v.55 no.5
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    • pp.1563-1575
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    • 2018
  • In this paper, our central focus is upon gamma and beta q-distributions from a probabilistic viewpoint. The gamma and the beta q-distributions are characterized by investing the nature of the joint q-probability density function through the q-independence property and the q-Laplace transform.

Power Analysis for Normality Plots (정규성 그래프의 검정력 비교)

  • Lee, Jae-Young;Rhee, Seong-Won
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.2
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    • pp.429-436
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    • 1999
  • We suggest test statistics for normality using Q-Q plot and P-P plot and obtain empirical quantities of these statistics. Also the power comparison with Shapiro-Wilk's W is conducted by Monte Carlo study.

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Comparative Study on Statistical Packages for using Multivariate Q-technique

  • Choi, Yong-Seok;Moon, Hee-jung
    • Communications for Statistical Applications and Methods
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    • v.10 no.2
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    • pp.433-443
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    • 2003
  • In this study, we provide a comparison of multivariate Q-techniques in the up-to-date versions of SAS, SPSS, Minitab and S-plus well known to those who study statistics. We can analyze data through the direct Input method(command) in SAS and use of menu method in SPSS, Minitab and S-plus. The analysis performance method is chosen by the high frequency of use. Widely we compare with each Q-techniques form according to input data, input option, statistical chart and statistical output.

Statistical Analysis of Agreement by Q-Q plot (Q-Q 플롯에 의한 Agreement의 통계적 분석)

  • Lee, Jae-Young;Rhee, Seong-Won;Lee, Jae-Woo
    • Journal of the Korean Data and Information Science Society
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    • v.9 no.1
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    • pp.11-18
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    • 1998
  • In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using the correlation coefficient(r). So, the measurement for agreement was determined by Bland & Altman's method recently. In this article, we will analyse the measurement for agreement by using Q-Q plot and by applying Bland and Altman's method through graph. And we will show characteristics for these techniques.

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Goodness-of-fit Test for the Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok;Cho, Young-Seuk;Han, Jun-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1441-1448
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    • 2008
  • We propose the modified quantile-quantile (Q-Q) plot using the approximate maximum likelihood estimators and the modified normalized sample Lorenz curve (NSLC) plot for the extreme value distribution based on multiply Type-II censored samples. Using two example data sets, we picture the modified Q-Q plot and the modified NSLC plot.

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TWO-WEIGHTED CONDITIONS AND CHARACTERIZATIONS FOR A CLASS OF MULTILINEAR FRACTIONAL NEW MAXIMAL OPERATORS

  • Rui Li;Shuangping Tao
    • Journal of the Korean Mathematical Society
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    • v.60 no.1
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    • pp.195-212
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    • 2023
  • In this paper, two weight conditions are introduced and the multiple weighted strong and weak characterizations of the multilinear fractional new maximal operator 𝓜ϕ,β are established. Meanwhile, we introduce the ${\mathcal{S}}_{({\vec{p}},q),{\beta}}({\varphi})$ and $B_{({\vec{p}},q),{\beta}}({\varphi})$ conditions and obtain the characterization of two-weighted inequalities for 𝓜ϕ,β. Finally, the relationships of the conditions ${\mathcal{S}}_{({\vec{p}},q),{\beta}}({\varphi}),\,{\mathcal{A}}_{({\vec{p}},q),{\beta}}({\varphi})$ and $B_{({\vec{p}},q),{\beta}}({\varphi})$ and the characterization of the one-weight $A_{({\vec{p}},q),{\beta}}({\varphi})$ are given.

On Stationarity of TARMA(p,q) Process

  • Lee, Oesook;Lee, Mihyun
    • Journal of the Korean Statistical Society
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    • v.30 no.1
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    • pp.115-125
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    • 2001
  • We consider the threshold autoregressive moving average(TARMA) process and find a sufficient condition for strict stationarity of the proces. Given region for stationarity of TARMA(p,q) model is the same as that of TAR(p) model given by Chan and Tong(1985), which shows that the moving average part of TARMA(p,q) process does not affect the stationarity of the process. We find also a sufficient condition for the existence of kth moments(k$\geq$1) of the process with respect to the stationary distribution.

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Some Basic and Asymptotic Properies in INMA(q) Processes

  • Park, You-Sang;Kim, Myung-Jin
    • Journal of the Korean Statistical Society
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    • v.26 no.2
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    • pp.155-170
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    • 1997
  • We propose an integer-valued MA(q) process with Poisson disturbance. Its various properties are discussed such as the joint distribution, time reversibility and regression. We derive the asymptotic distribution of autocovariance function and estimators of the parameters in the suggested model. We also consider the relationship between INMA(q) and M/D/.infty. processes.

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A NEW q-ANALOGUE OF VAN HAMME'S (G.2) SUPERCONGRUENCE FOR PRIMES p ≡ 3 (mod 4)

  • Victor J. W. Guo;Xiuguo Lian
    • Bulletin of the Korean Mathematical Society
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    • v.60 no.3
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    • pp.775-783
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    • 2023
  • Van Hamme's (G.2) supercongruence modulo p4 for primes p ≡ 3 (mod 4) and p > 3 was first established by Swisher. A q-analogue of this supercognruence was implicitly given by the first author and Schlosser. In this paper, we present a new q-analogue of Van Hamme's (G.2) supercongruence for p ≡ 3 (mod 4).

Geometric ergodicity for the augmented asymmetric power GARCH model

  • Park, S.;Kang, S.;Kim, S.;Lee, O.
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.6
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    • pp.1233-1240
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    • 2011
  • An augmented asymmetric power GARCH(p, q) process is considered and conditions for stationarity, geometric ergodicity and ${\beta}$-mixing property with exponential decay rate are obtained.