Continue the policy of subsidizing input of production could be one factor contributing to the low efficiency of input and thus prevent the development of the country. In this study, positive mathematical programming approach according to MAXIMUM ENTROPY was used to evaluate effects of eliminating the water subsidy on the production of ornamental flowers. Data were collected by from beneficiaries of ornamental flowers of Mahalat city, during crop year 2013-2014. The results showed that the policy of increasing prices of water lead to decline in production and benefit.The MAXIMUM decrease in production is related to wallflower, Lilium and is Gerber respectively. The results showed that the flowers of Lilium and Gerber have higher economic performance compared to other types of produced flowers and the most production decrease is related to Shabbo.

In this paper, we consider the determination methods of MAXIMUM ENTROPY multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed. Next, some numerical solutions are considered for the cases of unavailable closed form of solutions. Finally, these methods are illustrated via some numerical examples.

This paper provides steady state queue-size distribution for a G/G/1 queue by using principle of MAXIMUM ENTROPY. For this purpose we have used average queue length and normalizing condition as constraints to drive queue-size distribution. Our results give good approximation as demonstrated by taking a numerical illustration. In particular case when square coefficient of variation of inter-arrival time is equal to one, the average queue length provided tallies with the results for M/G/1 model. Other particulars cases have also been deduced which match with already existing results. این مقاله توزیع طول صف را در حالت پایدار برای مدل صف G/G/1 با استفاده از اصول ماکزیمم انتروپی پیدا میکند. برای انجام این منظور از میانگین طول صف و شرط نرمالیزه کردن به عنوان محدودیت استفاده میشود. مقاله به کمک مثالهای عددی نتایج خوبی را عاید میسازد. در حالت خاص، برای مواردی که مربع ضریب تغییرات زمان مابین دو ورود برابر یک است میانگین طول صف با نتایج مدل صف M/G/1 توافق دارد. حالات خاص دیگری که در حال حاضر وجود دارند نیز استخراج شده و با نتایج این مقاله مطابقت دارد.

Stochastically ordered random variables with given marginal distributions are combined into a joint distribution preserving the ordering and the marginals using a MAXIMUM ENTROPY principle. A closed-form of the MAXIMUM ENTROPY density function is obtained. Next we have compared the entropies of MAXIMUM ENTROPY distributions, under two constraints The constraints are either prescription of marginal distributions and the marginals and covariance matrix.

Hydrological cycle is directed into thermodynamic non-equilibrium state and MAXIMUM ENTROPY production through thermodynamic processes. Therefore, it is possible to understand and describe hydrological cycle through computation of ENTROPY production rate and the MAXIMUM ENTROPY production principle (MEP). Based on MEP, if there are sufficient degrees of freedom within a system, it will adopt a steady state at which ENTROPY production is maximized under existing restrictions. This principle can help to estimate the hydrological components and parameters without need for detailed understanding of watershed characteristics. Due to the importance of this issue in the science of hydrological modeling and the lack of Persian resources in this field, the present study examines the hydrological cycle from a thermodynamic point of view using valid scientific sources. In this study, the hydrological cycle is considered as a thermodynamic system and the method of calculating ENTROPY production rate by components of water balance is presented. Also, how to estimate hydrological components using the MEP principle is explained in a simple example. Overall, the MEP principle holds great promise for equipping us with a better understanding of the organization of hydrological processes within the Earth system and development of the models based on non-equilibrium thermodynamic.

MAXIMUM of the Renyi ENTROPY and the Tsallis ENTROPY are generalization of the MAXIMUM ENTROPY for a larger class of Shannon ENTROPY. In this paper we introduce the MAXIMUM Renyi ENTROPY and some of the attributes of distributions which have MAXIMUM Renyi ENTROPY investigated. The form of distributions with MAXIMUM Renyi ENTROPY is power so we state some properties of these distributions and we have a new form of the Renyi ENTROPY. After pointing the topics of minimum Renyi divergence, some other points in this relation have been discussed. An another form of Renyi divergence have also obtained. Therefore we discussed some of the economic applications of the MAXIMUM ENTROPY. Meanwhile, the review of the Csiszar information measure, the general form of distributions with minimum Renyi divergence have obtained.

Jaynes'' principle of MAXIMUM ENTROPY states that among all the probability distributions satisfying some constraints, one should be selected which has MAXIMUM uncertainty. In this paper, we consider the methods of obtaining MAXIMUM ENTROPY bivariate density functions via Taneja and Burg''s measure of ENTROPY under the constraints that the marginal distributions and correlation coefficient are prescribed. Next, a numerical method is considered. Finally, each method is illustrated via a numerical example.