Estimation of the uniform distribution parameter of unextendable dead time duration in a generalized recurrent asynchronous flow of events by the maximum likelihood method

Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika ◽

10.17223/19988605/55/7 ◽

2021 ◽

pp. 53-64

Author(s):

Lyudmila A. Nezhel’skaya ◽

◽

Anna A. Pershina

Keyword(s):

Maximum Likelihood ◽

Uniform Distribution ◽

Maximum Likelihood Method ◽

Dead Time ◽

Distribution Parameter ◽

Likelihood Method ◽

Time Duration

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Estimation procedure of the uniform distribution parameter of unextendable dead time duration in a generalized recurrent asynchronous flow of events in special case

Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika ◽

10.17223/19988605/54/8 ◽

2021 ◽

pp. 65-73

Author(s):

Lyudmila A. Nezhel’skaya ◽

◽

Anna A. Pershina

Keyword(s):

Uniform Distribution ◽

Dead Time ◽

Estimation Procedure ◽

Distribution Parameter ◽

Time Duration ◽

Special Case

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Comparison of maximum likelihood method and moments method by estimating unextendable dead time period in the modulated semi-synchronous generalized flow of events

Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika ◽

10.17223/19988605/36/2 ◽

2016 ◽

pp. 11-25

Author(s):

Maria A. Bakholdina ◽

◽

Alexander M. Gortsev

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Dead Time ◽

Likelihood Method ◽

Time Period ◽

Moments Method ◽

Unextendable Dead Time Period

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Estimation of the uniform distribution parameter of unextendable dead time duration in a generalized asynchronous flow of events in special case

Vestnik Tomskogo gosudarstvennogo universiteta Upravlenie vychislitel naya tekhnika i informatika ◽

10.17223/19988605/51/10 ◽

2020 ◽

pp. 87-93

Author(s):

Lyudmila Alekseevna Nezhel'skaya ◽

◽

Anna Alexandrovna Pershina

Keyword(s):

Uniform Distribution ◽

Dead Time ◽

Distribution Parameter ◽

Time Duration ◽

Special Case

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Displacement Estimation in Time Varying Image Sequences Using Maximum Likelihood Method+

Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/icsmc.1988.712864 ◽

2005 ◽

Author(s):

T.Q. Thai ◽

D.F. Mix

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Image Sequences ◽

Likelihood Method ◽

Time Varying ◽

Displacement Estimation

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A new approach to unfold neutron spectra based on the maximum likelihood method

Radiation Effects ◽

10.1080/00337578608211706 ◽

1986 ◽

Vol 96 (1-4) ◽

pp. 25-28

Author(s):

Shikoh Itoh

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Likelihood Method ◽

New Approach ◽

Neutron Spectra

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Direction of Arrival estimation using Maximum Likelihood Method and the effect of element selection on system performance

11th International Symposium on Antenna Technology and Applied Electromagnetics [ANTEM 2005] ◽

10.1109/antem.2005.7852128 ◽

2005 ◽

Cited By ~ 1

Author(s):

M. H. Moussa ◽

J.W Dietrich ◽

A. Sebak

Keyword(s):

Maximum Likelihood ◽

System Performance ◽

Maximum Likelihood Method ◽

Direction Of Arrival ◽

Likelihood Method ◽

Direction Of Arrival Estimation ◽

Element Selection

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Stochastic Maximum-Likelihood Method for MIMO Propagation Parameter Estimation

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2006.882057 ◽

2007 ◽

Vol 55 (1) ◽

pp. 46-55 ◽

Cited By ~ 10

Author(s):

Cssio B. Ribeiro ◽

Esa Ollila ◽

Visa Koivunen

Keyword(s):

Parameter Estimation ◽

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Likelihood Method ◽

Propagation Parameter

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A marginal maximum likelihood method for the vector threshold model to analyze dichotomous choice data

Japanese Psychological Research ◽

10.1111/1468-5884.t01-1-00044 ◽

2003 ◽

Vol 45 (3) ◽

pp. 188-201 ◽

Cited By ~ 1

Author(s):

Hiroshi Hojo

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Threshold Model ◽

Likelihood Method ◽

Dichotomous Choice ◽

Marginal Maximum Likelihood ◽

Choice Data ◽

Marginal Maximum

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A Sieve-Constrained Maximum-Likelihood Method for Target Imaging

Radar and Sonar - The IMA Volumes in Mathematics and its Applications ◽

10.1007/978-1-4684-7832-7_10 ◽

1992 ◽

pp. 95-122 ◽

Cited By ~ 1

Author(s):

Pierre Moulin ◽

Joseph A. O’Sullivan ◽

Donald L. Snyder

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Likelihood Method ◽

Target Imaging ◽

Constrained Maximum Likelihood

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The Filtration of Composite Signals from Interference by the Maximum Likelihood Method

Lecture Notes in Computer Science - Internet of Things, Smart Spaces, and Next Generation Networks and Systems ◽

10.1007/978-3-319-67380-6_59 ◽

2017 ◽

pp. 629-634

Author(s):

Kseniia V. Vlasova ◽

Valerii A. Pakhotin ◽

Evgenii V. Korotey ◽

Sergey B. Makarov

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Method ◽

Likelihood Method

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