environmental management and planning and benefiting from climatic capacities of every geographical place are related to homogenous climatic regions and the most influential climatic elements in spatial separation of the climatic regions. accordingly, the aim of the present study includes determining the most influential climatic elements affecting on the climate of esfahan province, and the sp...

background and objectives: seed vigour is the resultant of a broad range of physiological processes which have genetic background. the study of genetic variation, play an important role in enhancing the ability of breeders in selection and breeding operation. this study aimed to evaluate rice genotypes with the physiological and morphological characteristics related to seed vigour and grouping ...

a 7×7 complete diallel cross experiment was performed to study the genetic relationship of grain yield and some agronomic traits in rice. analysis of variance showed significant differences among genotypes for all traits. results of correlation analysis showed that rice grain yield was positively and significantly correlated with by (rp = 0.81, rg =0.55), hi (rp =0.35, rg =0.79), np (rp = 0.80,...

multivariate process capability indices (mpci) show how well a manufacturing process can meet specifica-tion limits when quality characteristics enclose a relative correlation. process capability is an important and commonly used metric for assessing and improving the quality of a production process. when quality charac-teristics of a product are correlated then an attractive comes close to mpc...

Genetic association studies lead to simultaneous categorical data analysis. The sample for every genetic locus consists of a contingency table containing the numbers of observed genotype-phenotype combinations. The goal of the statistical analysis is to detect associations between the (potentially very large) set of genetic markers and the (typically binary) phenotype of interest. This is a par...

BACKGROUND With a large number of potentially relevant clinical indicators penalization and ensemble learning methods are thought to provide better predictive performance than usual linear predictors. However, little is known about how they perform in clinical studies where few cases are available. We used Random Forests and Partial Least Squares Discriminant Analysis to select the most salient...

For rough heterogeneous samples, the contrast observed in XPS images may result from both changes in elemental or chemical composition and sample topography. Background image acquisition and subtraction are frequently utilized to minimize topographical effects so that images represent concentration variations in the sample. This procedure may significantly increase the data acquisition time. Mu...

(a) Perform a principal components analysis of this dataset on both the covariance and correlation matrices, reporting both estimated variances and loadings. Why are the results different? Why does PCA on the correlation matrix make more sense for this data? The remaining parts assume that you use PCA on the correlation matrix. Solution: The results are different because PCA is not scale invari...

General ideas of robust statistics, and specifically robust statistical methods for calibration and dimension reduction are discussed. The emphasis is on analyzing high-dimensional data. The discussed methods are applied using the packages chemometrics and rrcov of the statistical software environment R. It is demonstrated how the functions can be applied to real high-dimensional data from chem...