scholarly journals Maximum Likelihood Score Estimation Method With Fences for Short-Length Tests and Computerized Adaptive Tests

2016 ◽  
Vol 40 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Kyung T. Han
Keyword(s):  
Maximum Likelihood ◽  
Estimation Method ◽  
Short Length ◽  
Adaptive Tests ◽  
Computerized Adaptive Tests ◽  
Likelihood Score ◽  
Maximum Likelihood Score

scholarly journals An improved mode of running PASTA

2020 ◽  
Author(s):  
Qikai Yang ◽  
Tandy Warnow
Keyword(s):  
Maximum Likelihood ◽  
Divide And Conquer ◽  
Likelihood Score ◽  
Maximum Likelihood Tree ◽  
Tree Pair ◽  
Previous Iteration ◽  
Default Setting ◽  
Excellent Accuracy ◽  
Maximum Likelihood Score

AbstractPASTA is a method for estimating alignments and trees that has been able to provide excellent accuracy on large sequence datasets. By design, PASTA operates using iteration, in which the tree from the previous iteration is used to inform a divide-and-conquer strategy during which a new alignment is computed on the sequence dataset, and then a new maximum likelihood tree is estimated on the new alignment. In its default setting, PASTA runs for three iterations and returns that alignment/tree pair from the last iteration. Here we use both biological and simulated nucleotide datasets to show that returning the alignment/tree pair that has the best maximum likelihood score improves on the default usage.

Variation of the Maximum Likelihood Score.

1998 ◽  
Vol 62 (5) ◽  
pp. 453-464
Author(s):  
S. EICHENBAUM-VOLINE ◽  
M-C. BABRON ◽  
B. PRUM ◽  
F. CLERGET-DARPOUX
Keyword(s):  
Maximum Likelihood ◽  
Likelihood Score ◽  
Maximum Likelihood Score

Research on the Distributed Characteristics of the Delay for Network Coding Based Real-Time Multicast in MANETs

2014 ◽  
Vol 530-531 ◽  
pp. 768-772
Author(s):  
Guo Ping Tan ◽  
Lin Feng Tan ◽  
Lei Cao ◽  
Mei Yan Ju
Keyword(s):  
Maximum Likelihood ◽  
Probability Distribution ◽  
Network Coding ◽  
Real Time ◽  
Lognormal Distribution ◽  
Ad Hoc ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Actual Distribution ◽  
Delay Distribution

For the study of the applications of partial network coding based real-time multicast protocol (PNCRM) in Mobile Ad hoc networks, the researches should be developed in the probability distribution of delay. In this paper, NS2 is used to obtain the delay of data packets through simulations. Because the delay does not obey the strict normal distribution, the maximum likelihood estimate method based on the lognormal distribution is used to process the data. Using MATLAB to obtain the actual distribution of the natural logarithm of delay, then drawing the delay distribution with the maximum likelihood estimation method based on the lognormal distribution, the conclusion that the distributions obtained by the above mentioned methods are basically consistent can be obtained. So the delay distribution of PNCRM meets the lognormal distribution and the characteristic of delay probability distribution can be estimated.

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