نتایج جستجو برای: parametric or non
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Regression analysis is known as statistical methods applied to model and analyze the relationship between variables. method can be examined parametric, non-parametric semiparametric regression methods.
 The parametric assumes that dependent variable in a linear with independent variables shape of known. If these assumptions are not met, applied. However, cause difficulties especially inter...
Extended Abstract Introduction and Objective: Sugar is a tonic that produces a large amount of energy in the diet of the world's population. The position of sugar beet in providing part of the sugar required by human society is not hidden from anyone. Given the needs of society, breeding sugar beet hybrids that is high in quantity and quality is inevitable. In addition to plant genetics and ...
investigating the feasibility of a proposed model for geometric design of deployable arch structures
deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...
With the exception of Bayesian analysis, phylogenetic inference procedures typically identify a best estimate of phylogenetic relationships, a so called point estimate of the phylogeny. However, the point estimate is often relatively uninteresting in itself unless we have some measure of its reliability. This lecture will be about techniques for examining the robustness or significance of the r...
One of the applications of Non-Parametric methods is determination of genotypes rank in different environments, which is also used as a measuring stability. A stable genotype shows similar ranks across different environments and has minimum rank variance in different environments. Non-Parametric Stability Statistics require no statistical assumptions about the distribution of the phenotypic val...
Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. Small area estimation is needed in obtaining information on a small area, such as sub-district or village. Generally, in some cases, small area estimation uses parametric modeling. But in fact, a lot of models have no linear relationship between the small area average and the covariat...
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