normaldistribution, etc ; regression analysis; variance; Show all 3 Subjects
Abstract:
... Since the introduction by Koenker and Bassett, quantile regression has become increasingly important in many applications. However, many non-parametric conditional quantile estimates yield crossing quantile curves (calculated for various p [set membership] (0, 1)). We propose a new non-parametric estimate of conditional quantiles that avoids this problem. The method uses an initial estimate of the ...
... Log-linear models are a classical tool for the analysis of contingency tables. In particular, the subclass of graphical log-linear models provides a general framework for modelling conditional independences. However, with the exception of special structures, marginal independence hypotheses cannot be accommodated by these traditional models. Focusing on binary variables, we present a model class t ...
normaldistribution, etc ; crosslinking; electrophoresis; fluorescein; streams; variance; Show all 6 Subjects
Abstract:
... This study aims to develop an experimental method for determining the focused-sample stream width in microfluidic chips. The focused-sample stream width in the junction of a cross-linked microchannel is determined by the distance between the two streamlines dividing the focusing sheath streams and the sample stream, which should be insensitive to the sample properties. However, the commonly used F ...
normaldistribution, etc ; ecosystems; fisheries; uncertainty; Maine; Show all 5 Subjects
Abstract:
... One of the key features of a Bayesian stock assessment is that the modeller needs to provide knowledge on model parameters. Priors summarise modellers' understanding of model parameters and are often defined by a probability distribution function. Priors are often mis-specified with arbitrary and unrealistic accuracy and precision in perceiving the state of nature for the parameters as a result of ...
normaldistribution, etc ; biophysics; coleoptiles; equations; hypocotyls; mechanism of action; temperature; Show all 7 Subjects
Abstract:
... In this contribution we deal with a new mathematical description of the response of short-term coleoptile/hypocotyl expansion growth to temperature. Although the interest of both the bio-mechanical basis of elongation growth and temperature responses has been studied in plant biology and biophysics for a long time, yet the question of the mode of actions of temperature is very relevant and still o ...
normaldistribution, etc ; Poisson distribution; binomial distribution; models; prediction; Show all 5 Subjects
Abstract:
... Data in the form of pairs (X,Y), where the response Y is a count, arise in many applications, including problems involving stratified or two-stage sampling. Such data are often analysed by using random-effects models, where the distribution of Y, conditional on X and on an unobserved random parameter Θ, is taken to be either binomial or Poisson, and the distribution of Θ is connected through a lin ...
normaldistribution, etc ; Alternaria; Cladosporium; allergenicity; fungal spores; rain; relative humidity; temperature; wind speed; Turkey (country); Show all 10 Subjects
Abstract:
... Alternaria and Cladosporium, known as the most allergenic spores were first collected by means of Durham gravimetric sampler from Eskisehir atmosphere from January 1, 2000 to December 31, 2001. The daily, monthly and annual variations in spores/cm² of Cladosporium and Alternaria were recorded. During this period, a total of 10.231 spores belonging to Cladosporium and Alternaria genera were recorde ...
normaldistribution, etc ; dolomitic limestone; epoxides; hydrogeology; lognormal distribution; models; prediction; tracer techniques; Show all 8 Subjects
Abstract:
... Epoxy casts were created of five naturally occurring fractures in dolostone and aperture distribution was measured using a light attenuation method. The optically determined aperture matrices showed a skew towards smaller apertures, with the larger models demonstrating a lognormal distribution and the smaller models a normal distribution. Surface variograms of each display a significant degree of ...
normaldistribution, etc ; Bayesian theory; data collection; hyperspectral imagery; image analysis; learning; models; remote sensing; spectroradiometers; support vector machines; Show all 10 Subjects
Abstract:
...
Recent advances in kernel machines promote the novel use of Gaussian processes (GP) for Bayesian learning. Our purpose is to introduce GP models into the remote sensing community for supervised learning as exemplified in this study for classifying hyperspectral images. We first provided the mathematical formulation of GP models concerning both regression and classification; described several ...