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1 likelihood of the growth rate and leads to a maximum-likelihood estimate.
2 ethod relies on random effects modeling with maximum likelihood estimates.
3 od estimator of and numerical computation of maximum likelihood estimates.
5 ubsampling bootstrap procedure to obtain the maximum likelihood estimates and confidence bounds for c
6 evelop the asymptotic variance-covariance of maximum likelihood estimates and evaluate the accuracy o
8 l cells were described by a model based on a maximum likelihood estimate for cellular damage, repair
9 , platform-independent program that computes maximum likelihood estimates for finite-mixture models,
10 seven diverse eukaryotic genomes and provide maximum likelihood estimates for rates and numbers of in
12 ect the rate of primary infection by using a maximum-likelihood estimate for a simpler model with no
13 e demonstrate this point by showing that the maximum-likelihood estimate for L produced by the method
14 ed expectation maximization to obtain robust maximum-likelihood estimates for insertion, deletion and
15 ndel rate, and the evolutionary time are all maximum likelihood estimated from the sequences being al
17 imate ages under the intermediate model, the maximum likelihood estimate is significantly less inflat
18 d zero theta values between populations, the maximum likelihood estimate is the same as that given by
20 , it gives an efficient way of obtaining the maximum-likelihood estimate (MLE) for a given tree topol
22 etic markers, and so the distribution of the maximum-likelihood estimate (MLE) of QTL location has th
25 the likelihood-ratio test statistic and the maximum-likelihood estimates (MLEs) of parameters includ
28 cle we explore statistical properties of the maximum-likelihood estimates (MLEs) of the selection and
29 th, are diagnostic metrics of SLS: i.e., the maximum likelihood estimate of the area under the receiv
31 vidual genotype or sequence data to obtain a maximum likelihood estimate of the global admixture prop
33 tool for the program STELLS, which finds the maximum likelihood estimate of the species tree from the
35 o extend the gene counting method to compute maximum likelihood estimates of allele frequencies for s
36 n-maximization (EM) algorithm for generating maximum likelihood estimates of gametic frequencies from
37 n intraclass correlations (ICCs) and using a maximum likelihood estimates of genetic variance were ca
39 n all pedigrees by nonparametric methods and maximum likelihood estimates of identity by descent shar
42 regression procedures were used to calculate maximum likelihood estimates of odds ratios and 95% conf
43 arge datasets since they involve calculating maximum likelihood estimates of pairwise evolutionary di
44 ew software tool, RelateAdmix, for obtaining maximum likelihood estimates of pairwise relatedness fro
45 r, this model produced increasingly variable maximum likelihood estimates of parameters as prevalence
48 Algorithms are presented that provide the maximum likelihood estimates of the distribution's param
49 d using the neighbor joining method based on maximum likelihood estimates of the evolutionary distanc
50 ully sequenced eukaryotic genomes to provide maximum likelihood estimates of the number of introns pr
52 moother technique iteratively calculates the maximum-likelihood estimate of Greenland ice sheet (GIS)
56 ates based on random topologies, whereas the maximum-likelihood estimate of Ts/Tv based on the well-c
58 to investigate the statistical properties of maximum-likelihood estimates of demographic parameters.
60 e we study the statistical properties of the maximum-likelihood estimates of omega and d in pairwise
63 ectation maximization algorithm to calculate maximum-likelihood estimates of sharing (subject to user
64 expected Markov counting (EMC) that produces maximum-likelihood estimates of substitution counts for
65 provided analytical tools for predicting the maximum-likelihood estimates of the model parameters.
66 ic EM algorithm is implemented to obtain the maximum-likelihood estimates of the Poisson parameters t
67 ber of nonrecombining blocks, we can compute maximum-likelihood estimates of the time and strength of
68 w this problem can be corrected by obtaining maximum-likelihood estimates of the true allele frequenc
69 on test is described for situations in which maximum-likelihood estimates of the variance components
71 calculating confidence intervals around the maximum likelihood estimate, our model can both provide
72 iants of the method with each other and with maximum-likelihood estimates provided by the SAGE comput
75 ture models used robust and full information maximum likelihood estimates to account for missing data
76 ence of the condition and some properties of maximum likelihood estimates to obtain an expression for
77 anscripts to which they are mapped and finds maximum likelihood estimates using a joint Poisson model
78 family-based Markov model was developed, and maximum likelihood estimates were produced for model par
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