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Semiparametric Distributions With Estimated Shape Parameters

Pharmaceutical Research, 2009
To investigate the use of adaptive transformations to assess the parameter distributions in population modeling.The logit, box-cox, and heavy tailed transformations were investigated. Each one was used in conjunction with the standard (exponential) transformation for PK and PD parameters.
Klas J F, Petersson   +3 more
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Shape parameter optimization for Adaboosted active shape model

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
Active shape model (ASM) has been shown to be a powerful tool to aid the interpretation of images, especially in face alignment. ASM local appearance model parameter estimation is based on the assumption that residuals between model fit and data have a Gaussian distribution.
null Yuanzhong Li, W. Ito
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Shape-Adjustable Generalized Bézier Rotation Surfaces with Multiple Shape Parameters

Results in Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Gang, Wei, Guo, Wu, Junli
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SHAPE ADAPTIVE ACCELERATED PARAMETER OPTIMIZATION

2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 2018
Computer vision based localization and pose estimation of known objects within camera images is often approached by optimizing some sort of fitting cost with respect to a small number of parameters including both pose parameters as well as additional parameters which describe a limited set of variations of the object shape learned through training ...
Anthony Yezzi, Navdeep Dahiya
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Chebyshev splines and shape parameters

Numerical Algorithms, 1997
The splines considered depend on two parameters \(p\), \(\alpha\), and are defined on \([0, 1]\) as those polynomials that satisfy \[ F'''(0)/p- 2\alpha F''(0)/p^2+ 2\alpha^2F'(0)/p^3= F'''(1)/(p+\alpha)- 2\alpha F''(1)/(p+ \alpha)^2+ 2\alpha^2 F'(1)/(p+ \alpha)^3; \] one applies to this space the formulas that give derivatives of vector functions in ...
Laurent, Pierre-Jean   +2 more
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B-spline with shape parameter

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010
The basis function of B-spline of n order is extended to contain shape control parameter by integral, so that the shape of the constructed curve can be adjusted by changing the parameter value and it possesses the structure and geometry properties analogous to B-spline curve.
null Wei Chen   +2 more
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Asymmetry parameter of peaked Fano line shapes

Review of Scientific Instruments, 2016
The spectroscopic line shape of electronic and vibrational excitations is ubiquitously described by a Fano profile. In the case of nearly symmetric and peaked Fano line shapes, the fit of the conventional Fano function to experimental data leads to difficulties in unambiguously extracting the asymmetry parameter, which may vary over orders of magnitude
S. Meierott   +3 more
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TESTING THE SHAPE PARAMETER IN GAMMA DISTRIBUTION

Far East Journal of Theoretical Statistics, 2017
Summary: The gamma distribution is widely used in engineering and industrial applications. Hypothesis testing of the shape parameter is revisited in the two-parameter gamma distribution when the scale parameter is known. The likelihood ratio test is implemented by simulating the distribution of the likelihood ratio statistic under the null hypothesis ...
Rahman, Mezbahur   +2 more
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Deriving Shape Space Parameters from Immunological Data

Journal of Theoretical Biology, 1997
We present a method for deriving shape space parameters that are consistent with immunological data, and illustrate the method by deriving shape space parameters for a model of cross-reactive memory. Cross-reactive memory responses occur when the immune system is primed by one strain of a pathogen and challenged with a related, but different, strain ...
D J, Smith   +3 more
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How Parameters Influence Shape-Directed Predictions

The structure of an RNA sequence encodes information about its biological function. Dynamic programming algorithms are often used to predict the conformation of an RNA molecule from its sequence alone, and adding experimental data as auxiliary information improves prediction accuracy.
Torin, Greenwood, Christine E, Heitsch
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