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Jafar Ahmadi

Researcher at Ferdowsi University of Mashhad

Publications -  193
Citations -  2552

Jafar Ahmadi is an academic researcher from Ferdowsi University of Mashhad. The author has contributed to research in topics: Order statistic & Estimator. The author has an hindex of 25, co-authored 189 publications receiving 2119 citations. Previous affiliations of Jafar Ahmadi include International University, Cambodia & Imam Khomeini International University.

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Physiological responses to drought stress in wild relatives of wheat: implications for wheat improvement

TL;DR: Wild progenitors of common wheat are a potential source of tolerance to biotic and abiotic stresses and four species of wild relatives responded well to drought stress with a lower percentage decline for most traits and high values for the first two components.
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Log-Gamma generated families of distributions

TL;DR: In this paper, two new general families of continuous distributions, generated by a distribution F and two positive real parameters α and β which control the skewness and tail weight of the distribution, are presented.
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Estimation and prediction in a two-parameter exponential distribution based on k-record values under LINEX loss function

TL;DR: In this paper, a Bayesian estimation for the two parameters of the exponential distribution are obtained based on k-record values under Linear-Exponential LINEX loss function, and the admissibility of some estimators are discussed.
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Bayesian estimation and prediction for some life distributions based on record values

TL;DR: In this article, a Bayesian estimation for the two parameters of some life distributions, including Exponential, Weibull, Pareto and Burr type XII, are obtained based on upper record values.
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Bayes estimation based on k-record data from a general class of distributions under balanced type loss functions

TL;DR: In this article, a semi-parametric class of distributions including exponential, Weibull, Pareto, Burr type XII and so on is considered, and the results are presented under the balanced versions of two well-known loss functions, namely squared error loss (SEL) and Varian's linear-exponential (LINEX) loss.