The author’s research is dedicated to the actual problem of identifying the linguoculturological and translation features of the glutonic vocabulary both in Russian and in Arabic. It is noted that the vocabulary of the glutonic type is extremely rich and diverse, as it is part of the national and linguistic culture of the Russian and Arab people. In the gastronomic discourse of the Russian people and the Arab peoples, it is represented by various parts of speech. The study of the traditions of food consumption confirmed the rich stylistic possibilities of the glutonic vocabulary, the names of bread in Russian and Arabic languages. It has been established that in modern Russian gastronomic discourse, glutonic lexical units are involved in the formation of bright, expressive stylistic means that use etymology, transcription, transliteration, descriptive expressions to convey linguocultural and ethnocultural specifics in names associated with cooking, for example, “bread”. The Arabic language reflects the peculiarities of the culinary art of the Eastern peoples, the traditions of everyday life and food consumption, the rituals and customs of receiving guests.
SIMILARITIES AND DIFFERENCES IN THE NAME OF BREAD IN THE GLUTONIC PICTURES OF THE WORLD IN THE RUSSIAN-LANGUAGE AND
ARABIC-LANGUAGE NATIONAL-CULTURAL CODES
glutonic vocabulary
picture of the world
language
gastronomic discourse
names
bread
Publication Date
Thu Aug 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة
Pareto type I distribution
reliability function
bayes method
double prior distributions (chi-gamma square distribution. gamma- erlang distribution
erlang exponential distribution
the squared error loss function.
توزيع باريتو من النوع الاول
دالة المعولية
طريقة بيز
الدوال المعلوماتية المضاعفة : توزيع مربع كاي- كاما
توزيع كاما - ارلنك
التوزيع ارلنك- الاسي
دالة الخسارة التربيعية.
The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for
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