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Semiparametric maximum likelihood probability density estimation.
A comprehensive methodology for semiparametric probability density estimation is introduced and explored. The probability density is modelled by sequences of mostly regular or steep exponential families generated by flexible sets of basis functions ...
Frank Kwasniok
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Parameter Estimation of ZZ Distribution under Progressive Type-II Censored Data
ZZ distribution is suitable to describe the life variable of a type of storage products that rarely fail before a given design life,and the proportion of failures has increased significantly after the design life.
ZHAO Hong-kai, ZHANG Guo-zhi, WANG Ping
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Maximum Likelihood Estimation of Seismic Impulse Response [PDF]
A seismic trace is assumed to consist of a known signal pulse convolved with a reflection coefficient series plus a moving average noise process (colored noise).
B. Ursin, O. Holberg
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Joint likelihood estimation and model order selection for outlier censoring
This study deals with the problem of outlier censoring from the secondary data in a radar scenario, where the number of outliers is unknown. To this end, a procedure consisting of joint likelihood estimation and statistical model order selection (MOS) is
Seyed Mohammad Karbasi
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Maximum Likelihood Estimation of Stochastic Fractional Singular Models
Using the non-causal nature of a fractional-order singular (FOS) model, this paper deals with the modification of an estimation algorithm developed by Nosrati and Shafiee, and demonstrates how the derived estimation procedure can be adjusted by ...
Komeil Nosrati +2 more
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Maximum Likelihood Estimation for Mixed Fractional Vasicek Processes
In this paper, we consider the problem of estimating the drift parameters in the mixed fractional Vasicek model, which is an extended model of the traditional Vasicek model.
Chun-Hao Cai +3 more
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Truncated Three-Parameter Lognormal Estimation [PDF]
The left, right and doubly truncated 3-parameter lognormal density functions are given and their moments evaluated. Moment estimation of the three parameters , and is discussed and maximum likelihood equations obtained in all cases. Solutions of the ML
Essam Al-Hussaini, Samia Narooz
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Maximum Penalized Likelihood Estimation for the Reliability Function [PDF]
This paper considers the problem of estimating probability density function based on maximum Maximum Penalized Likelihood Estimation , we will review some of the previous studies on Maximum Penalized Likelihood Estimation ( MPLE) approaches. Finally,
A. Mousa, M. khalil, N. Said, A. Fathi
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Maximum Likelihood Estimation for the Fractional Vasicek Model
This paper estimates the drift parameters in the fractional Vasicek model from a continuous record of observations via maximum likelihood (ML). The asymptotic theory for the ML estimates (MLE) is established in the stationary case, the explosive case ...
Katsuto Tanaka, Weilin Xiao, Jun Yu
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Further Properties and Estimations of Exponentiated Generalized Linear Exponential Distribution
The recent exponentiated generalized linear exponential distribution is a generalization of the generalized linear exponential distribution and the exponentiated generalized linear exponential distribution.
Chien-Tai Lin +4 more
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