Results 311 to 320 of about 2,034,768 (362)

Adjusting Incidence Estimates with Laboratory Test Performances: A Pragmatic Maximum Likelihood Estimation-Based Approach. [PDF]

Epidemiology
Weng Y, Tian L, Boothroyd D, Lee J, Zhang K, Lu D, Lindan CP, Bollyky J, Huang B, Rutherford GW, Maldonado Y, Desai M, California Pandemic Consortium.   +12 more
europepmc   +1 more source

Geometry‐Based Scan Curve Analysis: Rapid Method for the Evaluation of Scan Strategies in Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold, Michael Willeke, Alexander Sommereyns, Matthias Gehring, Parmar Yankit Dineshbhai, Nadine Stratmann, Anna Rosa Ziefuss, Sebastian‐Paul Kopp, Stephan Barcikowski, Michael Schmidt   +9 more
wiley   +1 more source

Fuzzy information recognition and translation processing in English interpretation based on a generalized maximum likelihood ratio algorithm. [PDF]

PeerJ Comput Sci
Yin L.
europepmc   +1 more source

Comparison of outcomes between off-pump and on-pump coronary artery bypass graft surgery using collaborative targeted maximum likelihood estimation. [PDF]

Sci Rep
Adineh HA, Hoseini K, Zareban I, Jalali A, Nazemipour M, Mansournia MA.   +5 more
europepmc   +1 more source

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Maximum Likelihood

2012
The maximum likelihood method is a popular statistical inferential procedure widely used in many areas to obtain the estimates of the unknown parameters of a population of interest. This chapter gives a brief description of the important concepts underlying the maximum likelihood method, the definition of the key components, the basic theory of the ...
Shuying, Yang, Daniela, De Angelis
openaire   +3 more sources

Maximum likelihood for parasitologists

Parasitology Today, 1994
In quantitative biology, observed data are fitted to a model that captures the essence of the system under investigation in order to obtain estimates of the parameters of the model, as well as their standard errors and interactions. The fitting is best done by the method of maximum likelihood, though least-squares fits are often used as an ...
Christopher Dye, Brian G. Williams
openaire   +2 more sources

Maximum-Likelihood-Schätzung [PDF]

, 2009
Eine Stichprobe x 1, x 2, …, x n wird aus dem Ergebnisraum X potentieller Realisationen mit Mittelwert m und Standardabweichung s gezogen. Als Maximum-Likelihood-Schatzer von m und s sind dann diejenigen Werte fur m und s definiert, die die vorliegende Stichprobe am haufigsten generieren wurden.
Bernd Süßmuth, John Komlos
openaire   +1 more source

Maximum-likelihood crystallization

Journal of Structural Biology, 2003
The crystallization facility of the TB Structural Genomics Consortium, one of nine NIH-sponsored structural genomics pilot projects, employs a combinatorial random sampling technique in high-throughput crystallization screening. Although data are still sparse and a comprehensive analysis cannot be performed at this stage, preliminary results appear to ...
openaire   +3 more sources

Maximum-Likelihood-Schätzer

2002
Bei gegebener Verteilungsklasse F θ , θ ∈ Θ, lassen sich Schatzer fur den Parameter θ oft nach der Maximum-Likelihood-Methode bestimmen.
Helmut Wegmann, Jürgen Lehn, Karl Graf Finck von Finckenstein, Helmut Schellhaas   +3 more
openaire   +2 more sources

Restoring with Maximum Likelihood and Maximum Entropy*

Journal of the Optical Society of America, 1972
Given M sampled image values of an incoherent object, what can be deduced as the most likely object? Using a communication-theory model for the process of image formation, we find that the most likely object has a maximum entropy and is represented by a restoring formula that is positive and not band limited.
openaire   +3 more sources