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Chapter and Conference Paper
Correction to: Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions
“in terms of cumulants (κ l, l-th cumulant, l=1,2,3) of ∑ ...
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Chapter and Conference Paper
Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions
Statistical inference on a common CV across several inverse Gaussian populations is of interest in some applied fields such as agricultural science. This paper addresses the problem of estimation of a common C...
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Chapter and Conference Paper
Bayesian Inference for Inverse Gaussian Data with Emphasis on the Coefficient of Variation
This paper considers the Bayesian framework for inference on the parameters of an inverse Gaussian distribution parameterized in terms of the mean (μ) and coefficient of variation (δ). In the past literature, var...
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Article
Culture selected somaclonal variants showing low-ODAP and high protein content in nineteen grass pea (Lathyrus sativus L.) genotypes
To develop low-ODAP grass pea genotypes with high protein content, in vitro tissue culture techniques were used for inducing somaclonal variation through internode explants that was cultured on B5 medium conta...
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Article
Seedling and adult stage resistance to spot form of net blotch (SFNB) in spring barley and stability of adult stage resistance to SFNB in Morocco
The aims of this study were to identify resistance to spot form of net blotch (SFNB) in spring barley and to investigate the stability of SFNB resistance in Morocco. The seedling resistance to SFNB was evaluat...
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Article
Symmetrizing and Variance Stabilizing Transformations of Sample Coefficient of Variation from Inverse Gaussian Distribution
Coefficient of variation (CV) plays an important role in statistical practice; however, its sampling distribution may not be easy to compute. In this paper, the distributional properties of the sample CV from ...
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Article
New faba bean germplasm with multiple resistances to Ascochyta blight, chocolate spot and rust diseases
Faba bean is one of the oldest crops that originated in the Fertile Crescent and is now distributed around the world and produced under different agro-climatic conditions. It is mainly cultivated in high rainf...
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Article
Genomic regions conferring resistance to multiple fungal pathogens in synthetic hexaploid wheat
Fungal diseases are among the most devastating biotic stresses and often cause significant losses in wheat production worldwide. A set of 173 synthetic hexaploid wheat (SHW) characterized for resistance agains...
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Chapter
Experimental Designs for Precision in Phenoty**
Precision phenoty** is the evaluation of a genotype’s expression in a given environment with minimum influence of experimental error. This chapter presents the basic principles of experimental designs and li...
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Article
Health Implications for Children in Wastewater-Irrigated Peri-Urban Aleppo, Syria
Despite widespread irrigation with diluted, untreated, or partially treated wastewater in develo** countries, health implications of such irrigation on children living in wastewater-irrigated area have rarel...
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Article
Inheritance of drought resistance related traits in two crosses of groundnut (Arachis hypogaea L.)
Groundnut (Arachis hypogaea L.) is an important oilseed crop grown in more than 100 countries across wide range of environments. Frequent occurrence of drought is one of the limiting factors adversely affecting g...
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Article
Monograph Review: “α-designs” by Rajender Parsad, V. K. Gupta, P. K. Batra, S. K. Satpati and Pabitra Biswas, IASRI Publication, New Delhi, India, 2007
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Article
Modeling yield sustainability for different rotations in long-term barley trials
In crop rotation trials, the errors arising over time on the same plot are correlated. Often-used analyses assume zero or constant correlation between the errors while the actual covariance structure for the p...
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Article
Analysis of PBIB designs using association matrices
It is shown that the idempotent matrices of the information matrix of anm-associate class PBIB design can be obtained in terms of its association matrices. Some Special cases are also considered.