Results 31 to 40 of about 1,079,892 (278)

Digital Divide and Purchase Intention: Why Demographic Psychology Matters [PDF]

open access: yes, 2003
The author examines the issue of digital divide from a demographic perspective. The influence of gender, age, education, and income on the likelihood to purchase over the Internet is empirically examined.
Akhter, Syed H.
core   +3 more sources

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

open access: yesStatistica, 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

open access: yesArchives 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   +4 more
doaj   +1 more source

Likelihood based observability analysis and confidence intervals for predictions of dynamic models [PDF]

open access: yes, 2011
Mechanistic dynamic models of biochemical networks such as Ordinary Differential Equations (ODEs) contain unknown parameters like the reaction rate constants and the initial concentrations of the compounds. The large number of parameters as well as their
Kreutz, Clemens   +2 more
core   +3 more sources

Internalizing Symptom Profiles Among Youth in Foster Care: A Comparison Study

open access: yesFrontiers 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   +9 more
doaj   +1 more source

Approximate Profile Maximum Likelihood

open access: yes, 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.
Pavlichin, Dmitri S.   +2 more
openaire   +3 more sources

Using PyBioNetFit to leverage qualitative and quantitative data in biological model parameterization and uncertainty quantification

open access: yesFrontiers 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   +8 more
doaj   +1 more source

Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Developmental validation of a software implementation of a flexible framework for the assignment of likelihood ratios for forensic investigations

open access: yesForensic 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   +4 more
doaj   +1 more source

Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences

open access: yesRoyal 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
doaj   +1 more source

Home - About - Disclaimer - Privacy