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Wyświetlanie 1-3 z 3
Tytuł:
Record-based inference and associated cost analysis for the Weibull distribution
Autorzy:
Doostparast, M.
Powiązania:
https://bibliotekanauki.pl/articles/205931.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
cost analysis
likelihood function
record data
total time on test
Weibull model
lifetime model
Opis:
In statistical process control, record schemes are used to reduce the total time on test for the inspection inquiry. In these schemes, units are examined sequentially and successive minimum values are recorded. On the basis of record data, Samaniego and Whitaker (1986) obtained the maximum likelihood (ML) estimate of the mean for an exponential distribution. Since the two parameter Weibull model, as an extension of the exponential distribution, has a wide range of application, Hoinkes and Padgett (1994) derived the record-based ML estimators for the parameters of interest in this model. This paper shows that the ML estimates of the Weibull parameters do not always exist for the basis of records. Thus, a new scheme is proposed, in which the ML estimates of the parameters always exist. An analytic cost-based comparison between the usual and the New scheme is also carried out. Finally, some concluding remarks and open problems are formulated.
Źródło:
Control and Cybernetics; 2015, 44, 1; 163-177
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian multidimensional-matrix polynomial empirical regression
Autorzy:
Mukha, Vladimir S.
Powiązania:
https://bibliotekanauki.pl/articles/2050059.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
regression function
parameter estimation
maximum likelihood estimation
Bayesian estimation
multidimensional matrice
Opis:
The problem of parameter estimation for the polynomial in the input variables regression function is formulated and solved. The input and output variables of the regression function are multidimensional matrices. The parameters of the regression function are assumed to be random independent multidimensional matrices with Gaussian distribution and known mean value and variance matrices. The solution to this problem is a multidimensional-matrix system of the linear algebraic equations in multidimensional-matrix unknown regression function parameters. We consider the particular cases of constant, affine and quadratic regression function, for which we have obtained formulas for parameter calculation. Computer simulation of the quadratic regression function is performed for the two-dimensional matrix input and output variables.
Źródło:
Control and Cybernetics; 2020, 49, 3; 291--314
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance of variance function estimators for autoregressive time series of order one: asymptotic normality and numerical study
Autorzy:
Borkowski, P.
Mielniczuk, J.
Powiązania:
https://bibliotekanauki.pl/articles/206217.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
autoregressive process
bandwidth
heteroscedasticity
integrated squared error
local linear and local maximum likelihood estimator
difference-based estimator
geometric moment contraction
variance function
volatility
Opis:
We study performance of several conditional variance estimators for an autoregressive time series which include local linear smoothers with various bandwidths, local likelihood and difference-based estimators. In the theoretical part, asymptotic normality of the local linear estimator of variance with no mixing assumptions imposed on the underlying process is proved. Moreover, numerical examples performed reveal that a two-stage local linear smoother with a bandwidth, proposed by Ruppert, Sheather and Wand, used to estimate the regression function and a simple rule of thumb bandwidth for variance estimation performs best for variances without much structure, whereas the bandwidth considered by Fan and Yao works very well for much more variable variances.
Źródło:
Control and Cybernetics; 2012, 41, 2; 415-441
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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