morad alizadeh

In this paper, the collective risk model of an insurance company with constant surplus initial and premium when the claims are distributed as Exponential distribution and process number of claims distributed as Poisson distribution is considered. It is supposed that the reinsurance is done based on excess loss, which in that insurance portfolio, the part of total premium is the share of the reinsurer. A general formula for computing the infinite time ruin probability in the excess loss reinsurance risk model is presented based on the classical ruin probability. The random variable of the total amount of reinsurer's insurer payment in the risk model of excess loss reinsurance is investigated and proposed explicit formulas for calculating the infinite time ruin probability in the risk model of excess loss reinsurance. Finally, the results are examined for Lindley and Exponential distributions with numerical data.

In this paper, first, considering Fisher information of parametric type, we introduce a new informationmeasure based on Jensen inequality. Then, the Fisher information matrix and Jensen-Fisher are studiedor a finite mixture distribution of probability density functions. Further, another information criterion isintroduced as Jensen-χ2 based on a mixture of probability density functions. Generalizations of Jensen-Fisher and Jensen-χ2 information measures are presented based on m probability density functions and the relationship between these two new information criteria as well as the relationship between Jensen-Fisher information and some known information criteria such as Jensen-Shannon and Jeffreys informationmeasures are studied.

Based on the generalized log-logistic family (Gleaton and Lynch (2006)) of distributions, we propose a new family of continuous distributions with two extra shape parameters called the exponentiated odd log-logistic family. It extends the class of exponentiated distributions, odd log-logistic family (Gleaton and Lynch (2006)) and any continuous distribution by adding two shape parameters. Some special cases of this family are discussed. We investigate the shapes of the density and hazard rate functions. The proposed family has also tractable properties such as various explicit expressions for the ordinary and incomplete moments, quantile and generating functions, probability weighted moments, Bonferroni and Lorenz curves, Shannon and Rényi entropies, extreme values and order statistics, which hold for any baseline model. The model parameters are estimated by maximum likelihood and the usefulness of the new family is illustrated by means of three real data sets.

In this study, we introduce a new model called the Extended Exponentiated PowerLindley distribution which extends the Lindley distribution and has increasing, bathtub andupside down shapes for the hazard rate function. It also includes the power Lindley distributionas a special case. Several statistical properties of the distribution are explored, such as thedensity, hazard rate, survival, quantile functions, and moments. Estimation using the maximumlikelihood method and inference on a random sample from this distribution are investigated. Asimulation study is performed to compare the performance of the di®erent parameter estimatesin terms of bias and mean square error. We apply a real data set to illustrate the applicabilityof the new model. Empirical ¯ndings show that proposed model provides better ¯ts than otherwell-known extensions of Lindley distributions.

Statistical distributions are very useful in describing and predicting real world phenomena. Consequently, the choice of the most suitable statistical distribution for modeling given data is very important. In this paper, we propose a new class of lifetime distributions called the Weibull Topp-Leone Generated (WTLG) family. The proposed family is constructed via compounding the Weibull and the Topp-Leone distributions. It can provide better fits and is very flexible in comparison with the various known lifetime distributions. Several general statistical properties of the WTLG family are studied in details including density and hazard shapes, limit behavior, mixture representation, skewness and kurtosis, moments, moment generating function, incomplete moment. Different methods have been used to estimate its parameters. The performances of the estimators are numerically investigated. We have discussed inference on the new family based on the likelihood ratio statistics for testing some lifetime distributions. We assess the performance of the maximum likelihood estimators in terms of the biases and mean squared errors by means of a simulation study. The importance and flexibility of the new family are illustrated by means of two applications to real data sets.

We propose a new class of continuous distributions with two extra shape parameters named the Odd Log-Logistic Poisson-G family. Some of its mathematical properties including moments, quantile, generating functions and order statistics are obtained. We estimate the model parameters by the maximum likelihood method and present a Monte Carlo simulation study. The importance of the proposed family is demonstrated by means of three real data applications. Empirical results indicate that proposed family provides better fits than other well-known classes of distributions in real applications.

Most of the reforms that have taken place in world health systems are aimed at increasing the efficiency, quality, and control of costs. By implementing the health system reform plan, the actual plan of medical services tariffs by communicating the relative value of health services instruction on October 2014 was started. One of the most important goals of the reform plan was to reduce out of pocket payment. This study was conducted to determine the amount of out of pocket payment of insured people covered by the health insurance organization in the selected hospitals in Bushehr province.
The present analytical study was conducted on insured people hospitalization cases of health insurance organization in selected hospitals affiliated to Bushehr University of Medical Sciences (Persian Gulf Martyrs Hospital, Shahid Ganji Hospital) in July, August, January, and February 2014 as the statistical population and the most common services used as the statistical sample. The data were collected using a researcher-made checklist and investigating the hospital records coded and analyzed by SPSS 20 software.
According to the results of the study, the average cost of the patient's share was 1050835 Rials in July, August to 611631 Rials in January, and February, which decreased by 42.00 %. The results of the study show that by implementing the relative value of services instruction, the share of the health insurance organization increased from 79.00 % to 84.00 % and the share of the patient's payments decreased from 8.00 % to 4.00 %.
The results of the study show that the government has been able to achieve one of the goals of the health reform plan, which is reducing the out of pocket payment, by increasing health resources.

Customer relationship management is a modern marketing concept which is also considered as a successful business strategy. The present study aimed to design a customer relationship management model in the hospital.
The study is an applied research performed in 2 phases of 1) texts investigation and 2) the expert's opinions to achieve consensus. Data were analyzed using SPSS 18 software along with descriptive statistics.
The designed model included areas of customer relationship management tasks (15 components), employee's required skills (6 components), customer relationship management implementation requirements (7 components), influencing factors on successful customer relationship management (13 components), evaluation of customer relationship management performance (23 components), and customer relationship management consequences(5 components). Moreover, a proper organizational chart was suggested for customer relationship management unit in hospital.
The findings of the present study can be used as a practical guide to design and improve performance of customer relationship management unit in the hospital.

The genus Neogaillonia, belonging to the Rubiaceae family, has 4 species in Iran. This research was aimed to investigate the chemical composition of the essential oil from aerial parts of Neogaillonia eriantha, from endemic species of Iran. The aerial parts of Neogaillonia eriantha (Jaub. & Spach) Lincz., were collected from the area between Sirjan and Hajiabad, at a height of 2900 m, Kerman province, Iran during May 2010. Essential oil of the aerial parts of the plant was extracted using hydrodistillation method and analyzed by GC and GC/MS. The average essential oil yield was 0.2% (w/w). Essential oil compounds were identified by GC and GC/MS. Twenty-two compounds, representing 99.6% of the total oil, were identified in the essential oil. The main constituents were β-pinene (17.1%), 1,8-cineole (15.4%), δ-3-carene (11.4%), piperitone (11.3%), α-pinene (9.1%), and limonene (8.7%). As a result, monoterpenes (95.9%) were the main group of compounds found in the essential oil of the species.

The genus Hertia, belonging to the Compositae family, contains 12 species distributed all over South and North Africa and South Asia. The Iranian flora consists of only 2 shrubby species of Hertia distributed in the desert areas. In this study, Hertia intermedia (Boiss.) O. Kuntze was collected from Hezar Mountain, at an altitude of 2900 m, in Rayen area, Kerman Province, Iran during June 2010. Essential oils of leaves, stems and roots of the plant were separately extracted using hydrodistillation method and analyzed by GC and GC/MS. Seventeen components (97.6%) were identified in the leaf essential oil, with β-pinene (32.1%), α-pinene (14.6%), β-phellandrene (14.2%), and α-thujene (13.5%) as the main constituents. Also among the twenty-one identified compounds (94.2%) in the stem oil, α-pinene (38.4%), β-pinene (14.8%), and trans-verbenol (12.3%) were found to be the major components. Furthermore, α-pinene (51.2%), germacrene D (11.2%), and myrcene (10.4%) were the main constituents among the eight compounds (95.3%) characterized in the root essential oil. All three oils were highly rich in monoterpenes.

The genus Nepeta (Labiatae) with the common Persian name of “Pune-sa” includes 67 species in Iran and Nepeta schiraziana Boiss. is one of its endemic species. In this study, the stems, flowers and leaves of Nepeta schiraziana were collected from Sepidan region in north-west of Fars Province. The essential oils of stems, flowers and leaves of the plant were separately obtained by hydrodistillation and analyzed by GC and GC/MS. In each oils of the stem and flower, fourteen components were identified with 1,8-cineole (45.6% and 39.4%), germacrene D (17.4% and 15.8%), and β-caryophyllene (11.7% and 10.6%) as the main constituents, respectively. Furthermore, 1,8-cineole (38.5%), β-caryophyllene (14.2%), and caryophyllene oxide (11.7%) were the major components among the 18 constituents characterized in the leaf oil. As a result, 1,8-cineole was the dominant compound in the investigated oils while nepetalactone isomers reported in many Nepeta species, were not identified in Nepeta schiraziana.

Most cardiovascular diseases need to be treated by more than a simple drug and the use of combination products diminishes noncompliance. Advicor® as a combination product of a vitamin and a fat lowering agent has no monograph in official pharmacopeias for its quality control purposes. In this study, first and third derivative signals for NA and LV quantitation at the two pairs of wavelengths, 261 and 273 nm; 245 and 249 nm were monitored with the addition of standard solutions of NA or LV, respectively. The limits of detection were 0.03 and 0.32 mg/L for LV and NA, respectively. The limits of quantitation were 0.09 and 0.78 mg/L for LV and NA, respectively. RSD% for both interday and intraday precision was lower than 2.6 and 2.7% for LV and NA, respectively. Selectivity of the method was assessed for both degradation products produced in stress conditions and common excipients that may present in the pharmaceutical dosage forms. The recommended procedure was successfully applied to real samples.

Essential oil from aerial parts of Salvia bazmanica Rech. f. & Esfand, an endemic species to Iran, was extracted using hydro-distillation method and analyzed by GC and GC/MS. Twenty-one compounds were identified in essential oil of this species through comparing retention indices and mass spectra of each compound with that of standard compounds. β-pinene (37.5%), β-phellandrene (15.3%), α-thujene (9.5%) and α-pinene (8.9%) were determined as major constituents in the essential oil. The oil was richer in monoterpenes than in sesquiterpenes.