Given that correct assumptions on the baseline survival function are determinant for the validity of further inferences, specific tools to test the fit of a model to real data become essential in proportional hazards models. In this sense, we have proposed a parametric bootstrap to test the fit of survival models. Monte Carlo simulations are used to generate new data sets from the estimates obt...

In this article, we present a new statistical modification of the Weibull model for updating flexibility, called generalized Weibull-Weibull distribution. The is defined and studied in detail. Some mathematical functions are studied, such as quantile function, moments, information generating measure, Shannon entropy energy. joint distribution two marginal univariate models via Copula provided. ...

The Weibull distribution is a very popular distribution. It is called after Waladdi Weibull, a Swedish physicist. He used it in 1939 to analyze the breaking strength of materials. Since then it has been widely used for modelling phenomena with monotone failure rates. It is not useful for modelling phenomena with non monotone failure rates. The Weibull distribution has been shown to be useful fo...

Fixed bed adsorption of toxic metal ions such as chromium is a research area current interest. Mathematical models are routinely used to summarize breakthrough results ions, which often display varying degrees curve asymmetry. This work introduces the Weibull function simple model for correlating asymmetric curves chromium. The similar widely Bohart-Adams in several aspects. For example, they b...

Introduction: Diversity is an effective and widely used technique for mitigating the effects of multipath fading [1]. Among the well-known diversity techniques, switched and stay combining (SSC) is simple and cheap, though less efficient. In a dual-branch SSC receiver, if the instantaneous signal-to-noise ratio (SNR) of the first branch falls below a predefined switching threshold, the second b...

In this paper we introduce a four-parameter generalized Weibull distribution. This new distribution has a more general form of failure rate function. It is more general for modeling than six ageing classes of life distributions with appropriate choices of parameter values, so it can display decreasing, increasing, bathtub shaped, unimodal, increasing-decreasing increasing and decreasing-increas...

Annotation: In this papre We propose a neural network optimization algorithm for independent component analysis(ICA) which can separate mixtures of suband superGaussian source signals with self-adaptive nonlinearities. The ICA algorithem in the framework of natural Riemannian gradient, is derived using the parameterized Weibull density model. The nonlinear function in ICA algorithem is self-ada...

The inverse Weibull distribution can be readily applied to a wide range of situations including applications in medicine, reliability and ecology. In this article we introduce a new model of generalized inverse Weibull distribution referred to as the Exponentiated generalized inverse distribution. We provide a comprehensive mathematical treatment of this distribution. We derive the moment gener...

This data article provides a comparison data for nano-cement based concrete (NCC) and ordinary Portland cement based concrete (OPCC). Concrete samples (OPCC) were fabricated using ten different mix design and their characterization data is provided here. Optimization of curing time using the Weibull distribution model was done by analyzing the rate of change of compressive strength of the OPCC....

On the basis of CFO (carrier frequency offset) point of view, the system performance results from the analysis by adopting the channel scenarios characterized as Weibull fading for an MC-DS-CDMA (multi-carrier direct-sequence coded-division multiple-access) system are proposed in this article. Moreover, an approximate simple expression with the criterion of BER (bit error rate) versus SNR (sign...