نتایج جستجو برای: multivariate statistical
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in order to assess and identify genetic diversity and genetic relationships of the 64 kabuli chickpeas genotypes, an experimental design was carried out in a simple lattice design (8×8) in 2009-2010 cropping season on the research field of college of agriculture and natural resource of tehran university. the results of phenotypic correlation showed that grain yield per plant had significant and...
I. Introduction: Multivariate Statistical Analyses comprise a number of statistical methods/tools that may be applied to several fields of empirical investigations. Most of these methods have three characteristics in common: (i) they presume availability of data set, say Z(nxk) (in n observations and k variables; k ≥ 2, n>k), collected from the field (observationally or experimentally); (ii) th...
in order to providing selection indices using heritability and correlation effective traits on yield and multiple regression an experiment was conducted by 265 f3 families as well as parents and f1 related to gharib × khazar population in 2009 at gonbad high education center fields. days to repining (0.97) and panicle number and flag leaf length (0.66) had maximum and minimum heritability, resp...
background: the spread of urbanization in floodplains as well as increase of industrial and agricultural activities in river discharges may lead to water pollution by physical, chemical and biological pollutants. one of the major concerns in monitoring the water resources system is indentifying major quality parameters and determining a relationship between physical and chemical parameters. thi...
rock selection in modeling and simulation studies is usually based on two techniques; routinely defined rock types and those defined by special core analysis (scal). the challenge in utilizing these two techniques is that they are frequently assumed to be the same, but in practice, static rock-types (routinely defined) are not always representative of dynamic rock-types (scal defined) in the re...
Abstract In the classical contamination models, such as gross-error (Huber and Tukey model or case-wise contamination), observations are considered units to be identified outliers not. This is very useful when number of variables moderately small. Alqallaf et al. (Ann Stat 37(1):311–331, 2009) show limits this approach for a larger introduced independent (cell-wise contamination) where now cell...
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