is Prism's best-fit of a model that sums two Gaussian distributions (built-in to Prism, but I had to tweak the initial values to get it to fit). This fits the data perfectly. The graph may not have two modes, but the data are sampled from the sum of two Gaussian distributions. ...
State estimation of the non-Gaussian systems by the Gaus- sian sum method is treated. The distance-based pruning technique is designed for an approximation of the filtering probability density function given by a weighted sum of Gaussian distributions. The technique measures signif- icance of each...
The cumulative distribution of the envelope of the sum of two sine waves and narrowband Gaussian noise, the difference of the phases of the sine waves being uniformly distributed over (0, 2 pi ), is expressed as an integral that is evaluated by numerical quadrature. Approximation for the distr...
Joint asymptotic distributions of exceedances point process and partial sum of stationary Gaussian sequence; 平稳高斯序列超过数点过程与部分和的联合渐近分布 3. The second order moment of the nth partial sum average of the stable output of the irreducible finite state homogeneous Markov chain is expre...
Clearly if XX and YY are independent lognormal variables, then by properties of exponents and gaussian random variables, X×YX×Y is also lognormal. However, there is no reason to suggest that X+YX+Y is also lognormal. HOWEVER If you generate two independent lognormal random variables ...
By definition, the sum of iid non-central chi-square RVs is non-central chi-square. what is the sum of ono-identical non-central chi-square RV. I have a set of non zero mean complex Gaussian random variables H_i with a mean m_i and variance σ_i . i=1...N. H the result ...
Computer Analysis, Electrophoresis, Ultracentrifugation A Gaussian-like distribution function with three additional parameters is introduced which describes well the electrophoresis patterns of albumin, prealbumin and transferrin. Electrophoresis and ultracentrifugation patterns with 10-15 overlapping peaks are ...
regardless whether the population distribution itself is normal. This is known as thecentral limit theorem. It is fundamental to the use and application of parametric statistics because it assures that - if mean values are used - inferences can be made on the basis of a gaussian or normal dist...
Discusses the use of the Gaussian particle filter to builf types of Gaussian sum particles. Approximation of the filtering and predictive distributions by weighted Gaussian mixtures; Extension of the use of Gaussian particle filters and sum particle filters to dynamic state space models; Examination of...
Noun1.Fourier series- the sum of a series of trigonometric expressions; used in the analysis of periodic functions series- (mathematics) the sum of a finite or infinite sequence of expressions Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc. ...