Results 1 to 10 of about 373,692 (326)

Maximum likelihood estimators for colony-forming units [PDF]

Microbiology Spectrum
Measuring the abundance of microbes in a sample is a common procedure with a long history, but best practices are not well-conserved across microbiological fields. Serial dilution methods are commonly used to dilute bacterial cultures to produce countable
K. Michael Martini, Satya Spandana Boddu, Ilya Nemenman, Nic M. Vega   +3 more
doaj   +2 more sources

Maximum likelihood estimators are ineffective for acoustic detection of rare bat species. [PDF]

PLoS ONE
Acoustic monitoring is an important tool for determining presence or probable absence of threatened and endangered bats in the United States (US). Federal guidance requires the use of automated identification programs that classify audio files and ...
Bradley H Hopp, Donald I Solick, John Chenger, Christian M Newman   +3 more
doaj   +2 more sources

The relative performance of targeted maximum likelihood estimators. [PDF]

Int J Biostat, 2011
Porter KE, Gruber S, van der Laan MJ, Sekhon JS.   +3 more
europepmc   +2 more sources

New maximum likelihood estimators for eukaryotic intron evolution. [PDF]

PLoS Computational Biology, 2005
The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory.
Hung D Nguyen, Maki Yoshihama, Naoya Kenmochi   +2 more
doaj   +2 more sources

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data [PDF]

Journal of the American Statistical Association, 2020
Nonuniform subsampling methods are effective to reduce computational burden and maintain estimation efficiency for massive data. Existing methods mostly focus on subsampling with replacement due to its high computational efficiency. If the data volume is
Jun Yu, Haiying Wang, Mingyao Ai, Huiming Zhang   +3 more
semanticscholar   +1 more source

Bias reduction of a conditional maximum likelihood estimator for a Gaussian second-order moving average model

Modern Stochastics: Theory and Applications, 2021
In this study, we consider a bias reduction of the conditional maximum likelihood estimators for the unknown parameters of a Gaussian second-order moving average (MA(2)) model.
Fumiaki Honda, Takeshi Kurosawa
doaj   +1 more source

Minimum Divergence Estimators, Maximum Likelihood and the Generalized Bootstrap

Entropy, 2021
This paper states that most commonly used minimum divergence estimators are MLEs for suited generalized bootstrapped sampling schemes. Optimality in the sense of Bahadur for associated tests of fit under such sampling is considered.
Michel Broniatowski
doaj   +1 more source

Maximum likelihood estimators based on the block maxima method [PDF]

Bernoulli, 2017
The extreme value index is a fundamental parameter in univariate Extreme Value Theory (EVT). It captures the tail behavior of a distribution and is central in the extrapolation beyond observed data.
C. Dombry, Ana Ferreira
semanticscholar   +1 more source

Semi-Nonparametric Maximum Likelihood Estimation [PDF]

Econometrica, 1987
The density of Hermite forms: \[ h(u)=P^ 2_ k(u-\tau)\Phi^ 2(u| \tau,diag(\gamma)) \] where \(P_ k\) is a polynomial of degree K and \(\Phi\) is the density function of the multivariate normal distribution is shown to be capable of approximating any density arbitrarily closely subject to minimal qualifications relating to compactness, denseness ...
Gallant, A Ronald, Nychka, Douglas W
openaire   +1 more source

Bayesian Analysis for the Modified Frechet–Exponential Distribution with Covid-19 Application

Cumhuriyet Science Journal, 2023
In this manuscript, the maximum likelihood estimators and Bayes estimators for the parameters of the modified Frechet–exponential distribution. Because the Bayes estimators cannot be obtained in closed forms, the approximate Bayes estimators are computed
Neriman Akdam
doaj   +1 more source