We introduce two abstract theorems that reduce a variety of complex exponential distributional approximation problems to the construction of couplings. These are applied to obtain rates of convergence with respect to the Wasserstein and Kolmogorov metrics for the theorem of Rényi on random sums and generalizations of it, hitting times for Markov chains, and to obtain a new rate for the classica...

We introduce two abstract theorems that reduce a variety of complex exponential distributional approximation problems to the construction of couplings. These are applied to obtain new rates of convergence with respect to the Wasserstein and Kolmogorov metrics for the theorem of Rényi on random sums and generalizations of it, hitting times for Markov chains, and to obtain a new rate for the clas...

Our choice of normalization factor ensures that F is unitary: F† ◦F = I , where I is the identity transformation, and F† is the Hermitian conjugate of F, that is, (F†) jk = Fk j . Also recall that the exponential of a matrix M is given by the infinite series (M) . = ∑∞ p=0(1/p!)M (provided it converges). Thus a complex-linear map f : Cn→Cn is a logarithm for F if F = exp ( f ), and we write f =...

We consider the complexity of the emptiness problem for various classes of graph languages deened by eNCE (edge label neighborhood controlled embedding) graph grammars. In particular, we show that the emptiness problem is undecidable for general eNCE graph grammars, DEXPTIME-complete for connuent and boundary eNCE graph grammars, PSPACE-complete for linear eNCE graph grammars, NL-complete for d...

In this paper, based on linear matrix inequality (LMI), by using Lyapunov functional theory, the exponential stability criterion is obtained for a class of uncertain Takagi-Sugeno fuzzy Hopfield neural networks (TSFHNNs) with time delays. Here we choose a generalized Lyapunov functional and introduce a parameterized model transformation with free weighting matrices to it, these techniques lead ...

The biased transformation is introduced for continuous random variables. It is proved in the paper that the biased transformation works for the generalized Pareto, the generalized extreme value and the normal distribution. The biased transformation works for continuous distributions of the exponential family as an approximation; this is demonstrated with the aid of simulations. The new transfor...

Reaction time (RT) is one of the most common types of measure used in experimental psychology. Its distribution is not normal (Gaussian) but resembles a convolution of normal and exponential distributions (Ex-Gaussian). One of the major assumptions in parametric tests (such as ANOVAs) is that variables are normally distributed. Hence, it is acknowledged by many that the normality assumption is ...

The Box-Cox power exponential (BCPE) distribution, developed in this paper, provides a model for a dependent variable Y exhibiting both skewness and kurtosis (leptokurtosis or platykurtosis). The distribution is defined by a power transformation Y(nu) having a shifted and scaled (truncated) standard power exponential distribution with parameter tau. The distribution has four parameters and is d...

When population variances of observations in an ANOVA are a known function of their population means, many textbooks recommend using variancestabilizing transformations. Examples are: square root transformation for Poisson data, arcsine of square root for binomial proportions, and log for exponential data. We investigate the usefulness of transformations in onefactor, 3-level ANOVAs with nonnor...