Results 31 to 40 of about 324,671 (256)

How to use χ2 test correctly——the likelihood ratio test and the implementation of SAS software

Sichuan jingshen weisheng, 2021
The purpose of this article was to introduce the likelihood ratio test and the SAS implementation. Specifically， three definitions of the likelihood ratio test statistics and six more commonly used likelihood ratio test statistics were introduced.
Hu Chunyan, Hu Liangping
doaj   +1 more source

An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data

Journal of Applied Mathematics, 2022
Numerical computation of maximum likelihood estimates (MLE) is one of the most common problems encountered in applied statistics. Even if there exist many algorithms considered as performing, they can suffer in some cases for one or many of the following
Issa Cherif Geraldo
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Approximate Profile Maximum Likelihood

J. Mach. Learn. Res., 2017
We propose an efficient algorithm for approximate computation of the profile maximum likelihood (PML), a variant of maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical sample. The PML has appealing theoretical properties, but is difficult to compute exactly.
Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman   +2 more
openaire   +4 more sources

On the estimation of the structure parameter of a normal distribution of order p

Statistica, 2007
In this paper we compare four different approaches to estimate the structure parameter of a normal distribution of order p (often called exponential power distribution).
Angelo M. Mineo
doaj   +1 more source

Goal Attainment: A Clinically Meaningful Measure of Success of Botulinum Toxin-A Treatment for Lower Limb Spasticity in Ambulatory Patients

Archives of Rehabilitation Research and Clinical Translation, 2021
Objectives: The objectives of this study were to evaluate whether botulinum toxin type A (BoNT-A) treatment for lower limb spasticity leads to patient goal attainment and identify factors associated with positive goal attainment and to assess the effect ...
Subbuh Choudhry, MBBS, Benjamin L. Patritti, PhD, Richard Woodman, PhD, Paul Hakendorf, MPH, Lydia Huang, MBBS   +4 more
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Internalizing Symptom Profiles Among Youth in Foster Care: A Comparison Study

Frontiers in Psychiatry, 2021
Background: A high prevalence of anxiety and depression is found among youth in foster care. There is limited knowledge on the anxiety and depression symptom profiles of youth in foster care. We examined latent profiles of anxiety and depression symptoms
Yasmin Moussavi, Yasmin Moussavi, Kyrre Breivik, Gro Janne Wergeland, Gro Janne Wergeland, Bente Storm Mowatt Haugland, Marit Larsen, Marit Larsen, Stine Lehmann, Stine Lehmann   +9 more
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Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification

Frontiers in Immunology
Data generated in studies of cellular regulatory systems are often qualitative. For example, measurements of signaling readouts in the presence and absence of mutations may reveal a rank ordering of responses across conditions but not the precise extents
Ely F. Miller, Abhishek Mallela, Abhishek Mallela, Jacob Neumann, Yen Ting Lin, Yen Ting Lin, William S. Hlavacek, William S. Hlavacek, Richard G. Posner   +8 more
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Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences

Royal Society Open Science
Parameter inference and uncertainty quantification are important steps when relating mathematical models to real-world observations and when estimating uncertainty in model predictions.
Michael J. Plank, Matthew J. Simpson
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Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences. [PDF]

PLoS Computational Biology, 2009
A major analytical challenge in computational biology is the detection and description of clusters of specified site types, such as polymorphic or substituted sites within DNA or protein sequences.
Zhang Zhang, Jeffrey P Townsend
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Developmental validation of a software implementation of a flexible framework for the assignment of likelihood ratios for forensic investigations

Forensic Science International: Reports, 2021
The developmental validation of the software DBLR™ (‘database likelihood ratios’) is described. DBLR™ implements a flexible framework for the assignment of likelihood ratios for forensic DNA profiles. This framework allows the user to assign a likelihood
Hannah Kelly, Zane Kerr, Kevin Cheng, Maarten Kruijver, Jo-Anne Bright   +4 more
doaj   +1 more source