In this article, we consider the problem of predicting times to failure of units censored in multiple stages in a progressively censored sample from normal distribution. The best linear unbiased predictor (BLUP), the maximum likelihood predictor (MLP), a modified maximum likelihood predictor (MMLP), an approximate maximum likelihood predictor (AMLP), and the conditional median predictor (CMP) a...

The best unbiased linear predictor for a stochastic process is the best unbiased predictor (i.e., the linearity constraint is removed) if the process is Gaussian. This provides a stronger justi cation for the universal kriging predictor than is generally o ered. For log-Gaussian processes, we show that the standard predictor (obtained by correcting the bias of the exponential of the best unbias...

Spectral analysis may not provide an accurate description of speech articulation. This article presents an experimental setup of representing speech waveform directly in terms of timevarying parameters. It is related to the transfer function of the vocal tract. Linear Prediction, Long Term Predictor Analysis, and Synthesis filters are designed and implemented, as well as the theory behind intro...

Evolvable hardware (EHW) is a new technology, which was discovered at intersection of artificial intelligence and the circuit design. Unique hardware architecture is searched for each task. The circuit connection is subject of evolution and the function of such circuit can adapt to dynamic changing environment. Genetic algorithm is used to simulate evolution – its chromosomes encode potential s...

Reference 1] Jaroslav Fojt k VV aclav Hlavv a c. Adaptive non-linear predictor for lossless image compression. Abstract. The paper proposes the new method for lossless image compression that performs wery well and results can be compared with other methods that we are aware of. We developed further the Slessinger's idea to represent an image as residuals of a special local predictor. The pre-di...

In this paper we present a scaling-invariant interior-point predictor-corrector type algorithm for linear programming (LP) whose iteration-complexity is polynomially bounded by the dimension and the logarithm of a certain condition number of the LP constraint matrix. At the predictor stage, the algorithm either takes the step along the standard affine scaling direction or a new trust-region typ...

This paper proposes a novel adaptive algorithm for nonlinear prediction of speech signals, which turns out to be the adaptation procedure for an order statistic LMS predictor. The LMS-L lter Pitas et al. addressed is modied to preserve the time information in the input vector for the adaptation, in which a coe cient matrix is utilized to update the predictor coe cients. Computer simulations dem...

We develop a version of the Corrected Akaike Information Criterion (AICC) suitable for selection of an h-step-ahead linear predictor for a weakly stationary time series in discrete time. A motivation for this criterion is provided in terms of a generalized Kullback-Leibler information which is minimized at the optimal h-step predictor, and which is equivalent to the ordinary Kullback-Leibler in...

Mediation analysis is used to review the comparative change in the amount of strength of association of the primary predictor with the outcome after adjustment for the mediator. Mediation models are very widely used in social sciences and biomedical sciences. Before conducting mediation studies, researchers want to know the sample size (i.e. number of subjects) required for achieving the adequa...