This article deals with approximation of empirical distribution to standard normal distribution using Johnson transformation. This transformation enables us to approximate wide spectrum of continuous distributions with a normal distribution. The estimation of parameters of transformation...

A novel procedure is described for accelerating the convergence of Markov chain Monte Carlo computations. The algorithm uses an adaptive bootstrap technique to generate candidate steps in the Markov Chain. It is efficient for symmetric, convex probability distributions, similar to multivariate...

Data assimilation is the process of integrating observational data and model predictions to obtain an optimal representation of the state of the atmosphere. As more chemical observations in the troposphere are becoming available, chemical data assimilation is expected to play an essential role...

Local based approach is a major category of methods for spatial outlier detection (SOD). Currently, there is a lack of systematic analysis on the statistical properties of this framework. For example, most methods assume identical and independent normal distributions(i.i.d. normal) for the...

Data assimilation obtains improved estimates of the state of a physical systemby combining imperfect model results with sparse and noisy observations of reality.Not all observations used in data assimilation are equally valuable. The ability tocharacterize the usefulness of different data points...

Research over two decades has advanced the knowledge of how to assess predictive validity. We believe this has value to information systems (IS) researchers. To demonstrate, we used a widely cited study of IS spending. In that study, price-adjusted diffusion models were proposed to explain and...

All applicants that want to study at the University of economics, the Faculty of Management in Jindřichův Hradec have to be successfully graduated from high school. The preparation for leaving examination in certain subject at high school is at the same time the preparation for admission test....