Results 111 to 120 of about 6,790,902 (292)

Construction and Applications of a Composite Model Based on Skew-Normal and Skew-t Distributions

open access: yesEconometrics
Financial return distributions often exhibit central asymmetry and heavy-tailed extremes, challenging standard parametric models. We propose a novel composite distribution integrating a skew-normal center with skew-t tails, partitioning the support into ...
Jingjie Yuan, Zuoquan Zhang
doaj   +1 more source

Modeling asymmetric compositional data

open access: yesActa Scientiarum: Technology, 2014
Compositional data belong to the simplex sample space, but they are transformed to the sample space of the real numbers using the additive log-ratio transformation to allow the application of standard statistical techniques.
Ana Beatriz Tozzo Martins   +4 more
doaj   +1 more source

On the extended two-parameter generalized skew-normal distribution [PDF]

open access: yes, 2015
We propose a three-parameter skew-normal distribution, obtained by using hidden truncation on a skew-normal random variable. The hidden truncation framework permits direct interpretation of the model parameters.
Ogundimu, Emmanuel   +3 more
core   +1 more source

Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon

open access: yesAdvanced Materials Technologies, EarlyView.
A modular soft robotic colon simulator driven by programmable pneumatic actuation is developed to mimic physiological and pathological‐like motility patterns of the large intestine. Finite element–guided design and distributed control enable anatomically realistic deformation for peristalsis, segmentation, and mass movements, supporting capsule ...
Andrew Bickerdike   +6 more
wiley   +1 more source

Lambert W normal distribution: a viable extension for skew-normal? [PDF]

open access: yes
Several distributions and families of distributions, such as skew-normal and related distributions, are proposed to model skewed data. Lambert W transformation offers a flexible approach to introduce skewness to any random variable.
Käärik, Meelis, Selart, Anne
core   +1 more source

On the correlation structures of multivariate skew-normal distribution [PDF]

open access: yes, 2016
Skew-normal distribution is an extension of the normal distribution where the symmetry of the normal distribution is distorted with an extra parameter. A multivariate skew-normal distribution has been parametrized differently to stress different aspects ...
Käärik, Meelis   +2 more
core   +1 more source

Programmable Variable‐Stiffness Multilayer Elastomer Composites With High‐Aspect‐Ratio Low‐Melting‐Point Alloy Inclusions

open access: yesAdvanced Materials Technologies, EarlyView.
High‐aspect‐ratio low‐melting‐point alloy inclusions are embedded within multilayer silicone laminates to create thermally programmable stiffness. Sequential activation of alloy‐rich layers produces four distinct mechanical states and reconfigures tendon‐driven actuator trajectories under the same load.
Palpolage Don Shehan Hiroshan Gunawardane   +4 more
wiley   +1 more source

Classification Methods for the Serological Status Based on Mixtures of Skew-Normal and Skew-t Distributions

open access: yesMathematics
Gaussian mixture models are widely employed in serological data analysis to discern between seropositive and seronegative individuals. However, serological populations often exhibit significant skewness, making symmetric distributions like Normal or ...
Tiago Dias-Domingues   +2 more
doaj   +1 more source

On the skewed sinh-normal distribution

open access: yesInternational Journal of Advanced Statistics and Probability, 2015
Leiva et al. [10] introduce the skewed sinh-normal distribution, which is a skewed version of the sinh-normal distribution, discussed some of its properties and characterized an extension of the Birnbaum–Saunders distribution associated with this distribution. In this paper, we will introduce further properties of the skewed sinh-normal distribution,
S. K. Ashour, Ahmed Saad
openaire   +2 more sources

Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots

open access: yesAdvanced Robotics Research, EarlyView.
A new mechanical model of a tendon‐actuated helical extension spring joint in surgical robots is built using Cosserat rod theory. The model can implicitly handle the unknown contacts between adjacent coils and numerically predict spring shapes from straight to significantly bent under actuation forces.
Botian Sun   +3 more
wiley   +1 more source

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