In this paper we propose a tool for controlling the complexity of Genetic Programming models. The tool is supported by the theory of Vapnik-Chervonekis dimension (VCD) and is combined with a novel representation of models named straight line program. Experimental results, implemented on conventional algebraic structures (such as polynomials) and real problems, show that the empirical risk, pena...

In this paper we propose a tool for controlling the complexity of Genetic Programming models. The tool is supported by the theory of VapnikChervonekis dimension and is combined with a novel representation of models named straight line program. Experimental results, implemented on conventional algebraic structures (such as polynomials) and real problems, show that the empirical risk, penalized b...

This study is based on formulation of a new probability model having four parameters. Parameters the are estimated using Maximum likelihood, Least Square and Cramer –von Mises method. Some statistical properties like reliability function, hazard rate functi on, quantile functions studied. Applicability tested real data set. Box plot TTT plots used to explain nature data. For validation, Q-Q plo...

This study was carried out in Muzaffarabad (Pakistan) to identify the significant risk factors that predispose to myocardial infarction (MI). Risk factors were MI, age, blood pressure, cholesterol level, smoking, blood sugar, obesity, family history and deaths in young in family (DYF). Bivariate analysis and Logistic regression was applied along with different goodness of fit tests such as odds...

Hydrological drought refers to a persistently low discharge and volume of water in streams and reservoirs, lasting months or years. Hydrological drought is a natural phenomenon, but it may be exacerbated by human activities. Hydrological droughts are usually related to meteorological droughts, and their recurrence interval varies accordingly. This study pursues to identify a stochastic model (o...

In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973-2009. We selected a stratified random sample of Black Hispanic female patients from the Surveillance Epidemiology and End Results (SEER) database to derive the statistical probability mode...

We explore the estimation of uncertainty in evolutionary parameters using a recently devised approach for resampling entire additive genetic variance-covariance matrices (G). Large-sample theory shows that maximum-likelihood estimates (including restricted maximum likelihood, REML) asymptotically have a multivariate normal distribution, with covariance matrix derived from the inverse of the inf...