Heritability estimates of general intelligence in adulthood generally range from 75 to 85%, with all heritability due to additive genetic influences, while genetic dominance and shared environmental factors are absent, or too small to be detected. These estimates are derived from studies based on the classical twin design and are based on the assumption of random mating. Yet, considerable posit...

to evaluate the yield and yield components in additive intercropping system of grain sorghum (sorghum bicolor l.) and cowpea (vigna unguiculata l.) under limited irrigation condition, an experiment was conducted in research farm of college of agriculture, university of tehran, during spring 2006. the experimental treatments were arranged in split plots based on a complete randomized block desig...

the main purpose of cementing of the well is to provide effective zonal isolation for the entire life of wells. the standard cements cannot prevent loss of zonal isolation when the stress level in the well cement is severely fluctuated. since elastic cements improve elastic properties, recently, a number of studies have been done in this area. for this purpose, a nanoparticle, named ex-ripi, wa...

Multiplicative trend exponential smoothing has received very little attention in the literature. It involves modelling the local slope by smoothing successive ratios of the local level, and this leads to a forecast function that is the product of level and growth rate. By contrast, the popular Holt method uses an additive trend formulation. It has been argued that more real series have multipli...

This paper is concerned with the problem of recovering a finite, deterministic time series from observations that are corrupted by additive, independent noise. A distinctive feature of this problem is that the available data exhibit long-range dependence and, as a consequence, existing statistical theory and methods are not readily applicable. This paper gives an analysis of the denoising probl...

This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric regression and artificial neural networks models. Smoothing spline, regression spline and additive regression models are considered as the nonparametric regression components. Furth...

The inherent intractability of probabilistic in­ ference has hindered the application of be­ lief networks to large domains. Noisy OR­ gates [30] and probabilistic similarity net­ works [18, 17) escape the complexity of infer­ ence by restricting model expressiveness. Re­ cent work in the application of belief-network models to time-series analysis and forecasting [9, 10) has given rise to the ...

This paper is included in a series aiming to contribute to the algebraic theory of distributed computation. The key problem in understanding Multi-Agent Systems is to find a theory which integrates the reactive part and the control part of such systems. To this end we use the calculus of flownomials. It is a polynomial-like calculus for representing flowgraphs and their behaviours. An ‘additive...