Results 1 to 10 of about 1,042,408 (297)
Non-parametric change-point method for differential gene expression detection. [PDF]
BACKGROUND: We proposed a non-parametric method, named Non-Parametric Change Point Statistic (NPCPS for short), by using a single equation for detecting differential gene expression (DGE) in microarray data.
Yao Wang +4 more
doaj +2 more sources
A procedure for the change point problem in parametric models based on phi-divergence test-statistics [PDF]
This paper studies the change point problem for a general parametric, univariate or multivariate family of distributions. An information theoretic procedure is developed which is based on general divergence measures for testing the hypothesis of the ...
A Estrella +28 more
core +3 more sources
Parametric Optimization of Microcontact Stamping for Rapid Thermo-Color Change in Pigment-Coated Thin Film [PDF]
Microcontact stamping is a promising microfabrication technique for producing functional patterned thin films on flexible substrates; however, systematic optimization of its process parameters for thermochromic applications remains limited. In this study,
Jeonghoo Lee +5 more
doaj +2 more sources
Non-Parametric Quickest Mean-Change Detection
The problem of quickest detection of a change in the mean of a sequence of independent observations is studied. The pre-change distribution is assumed to be stationary, while the post-change distributions are allowed to be non-stationary. The case where the pre-change distribution is known is studied first, and then the extension where only the mean ...
Yuchen Liang, Venugopal V. Veeravalli
openaire +2 more sources
Parametric and non-parametric analysis of tax changes [PDF]
In this paper we examine the net effect of several major tax changes in Australia on residential property prices. Specifically, we consider the announcement and introduction effects that resulted from several policy changes including the introduction of the Goods and Services Tax (GST) and the accompanying First Home Owner Grant (FHOG).
Bugden, J +3 more
openaire +3 more sources
Altimeter data processing is very important to improve the quality of sea surface height (SSH) measurements. Sea state bias (SSB) correction is a relatively uncertain error correction due to the lack of a clear theoretical model. At present, the commonly
Jinyun Guo +4 more
doaj +1 more source
Most complex applications inevitably need to maintain dependencies between subsystems based on some shared data. The dependent parts must be informed that the shared information is changed. As every actual notification has some communication cost, and every triggered task has associated computation cost, it is crucial for the overall performance of the
Domoszlai, L. +2 more
openaire +1 more source
SELF-OSCILLATING PARAMETRIC HUMIDITY SENSOR WITH FREQUENCY OUTPUT SIGNAL
A self-oscillating parametric humidity sensor has been developed that implements the principle of "humidity-frequency" conversion into hybrid integrated circuit based on a microelectronic transistor structure with a negative differential resistance, in ...
Iaroslav Osadchuk +3 more
doaj +1 more source
Parametric uncertainty or hydrological changes? [PDF]
Abstract. The model calibration is the way of hydrologists for searching also a physical interpretation of complex interactions acting within a basin. Actually, it can be frequently noticed how model calibration performed on a given time-window may converge to a point in the parameter space that could be distant from another obtainable calibration of ...
Viola, F, Noto, L, Pumo, D
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Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria) [PDF]
The assessment of uncertainties in landslide susceptibility modelling in a changing environment is an important, yet often neglected, task. In an Austrian case study, we investigated the uncertainty cascade in storylines of landslide susceptibility ...
R. Knevels +6 more
doaj +1 more source

