... Let be a random deviate which follows a Poissonian probability distribution about the expectation value . Although the Poisson distribution itself is only defined for integer , one can find the following continuous `envelope function' to the Poisson values: . ... where is the gamma function . ... The expectation value of is . ... Equation 5 is used both in the present program and in boxdetect to estimate the null-hypothesis probability distribution of the weighted sum of Poissonian images. ...

... FTP access the basic models is here . ... Below, we put short descriptions of the used SED models for the photometric redshifts providing by the current server . ... The uniqueness of this model consists in expanding to the near IR (NIR) of Rocca-Volmerange and Guiderdoni's (1988) atlas of synthetic spectra with a revised stellar library, which includes parameters of cool stars. ... Homepage of the GISSEL model). ... Another model used earlier is the model of synthetic spectra of Poggianti (1997). ...

... It consists of two energy-angle analyzers EA-2 and EA-3 for low energy particles, and two identical oppositely directed time-of-flight (TOF) analyzers EM-1-1 and EM-1-2 for high energies. ... Analyzers of low energy charged particles (EA-2 and EA-3). ... The instruments allow to measure simultaneously in eight angular sectors evenly distributed in the angle 2 perpendicular to the satellite rotation axis, and sequentially in 7 energy intervals for each angular sector. ... Interval . ...

... The procedure of radiometer signal integration can be considered as a sort of reducing dimension of the initial sampling space, where the samples are the result of analog-to-digital conversion. ... The probability distribution of the signal and spikes is completely known. ... The quality of the considered algorithm could be also illustrated by Figure 2 . ... One could see the considered adaptive algorithm is preferable even by low degree of compression, because all spikes have been depressed. ...

... 13-Aug-2014 12:13 106K lk_20140815_0905.tar.. 15-Aug-2014 09:06 106K lk_20140901_0823.tar.. 01-Sep-2014 08:23 103K lk_20141016_1324.tar.. 16-Oct-2014 13:25 103K lk_20141211_1708.tar.. 11-Dec-2014 17:08 103K lk_20150430_0315.tar.. 30-Apr-2015 03:15 103K lk_20150430_0420.tar.. 30-Apr-2015 04:20 103K lk_20150818_1511.tar.. 18-Aug-2015 15:11 104K lk_20151113_1903.tar.. 13-Nov-2015 19:04 105K lk_20160314_0610.tar.. 14-Mar-2016 06:11 105K . ...

Next: Power of test Up: Basic principles of Previous: Test statistics . In principle, it is possible to compute a value of the statistic for a single frequency and to test its consistency with a random signal ( ). ... The factor N means that there is an increased probability of accepting a given value of the statistic as consistent with a random signal. ... In the command individual descriptions, we often refer to probability distributions of specific statistics. ...

... Empirical and theoretical modeling of 3-D structures in the solar corona is confronted by the tremendous amount of data needed to represent phenomena with a large dynamic range both in size and magnitude, and with a rapid temporal evolution. Octree representation of the 3-D coronal electron distribution offers the right compromise between resolution and size, allowing computation of synthetic images of the solar corona. ... The time interval between images is one day. ...

... Classes . ... casa::Geometric . ... Discrete geometric distribution. ... Geometric ( RNG *gen, Double probability=0.5) . Construct a random number generator for a geometric uniform distribution. virtual . ... probability () const . ... The second argument defines the range of possible return values for this distribution as described in the synopsis. virtual casa::Geometric::~Geometric . ... virtual Double casa::Geometric::operator() . ... virtual Vector < Double > casa::Geometric::parameters . ...