نشریه بررسی های آمار رسمی ایران
سال بیست و هفتم شماره 1 (پیاپی 88، بهار و تابستان 1395)

Ranked set sampling is a well-known method, that its superiority in comparison with simple random sampling method is recognized by statisticians. By using some changes in the structure of ranked set sampling method, we can increase its accuracy and efficiency in estimating the central parameters of the population. In order to do so, in recent years, researchers introduced many different types of these methods. Using these methods increases the efficiency in estimating of central parameters of population. In this paper, in order to find more efficient method in estimating the cost of housing for rural households of Mazandaran province, the efficiency of Robust Extreme Ranked Set Sampling and Double Robust Extreme Ranked Set Sampling methods in comparison with Simple Random Sampling is recognized.

The main goal of sport insurance is to identify and determine the risks and also reducing clubs and players’ costs. Also, in order to provide adequate insurance coverage, based on the analysis of losses, insurance companies determine premiums. Since in insurance industry, zero claims, for many reasons such as non- reporting deductible claims, are high, excess zero arise in the samples and data are faced with zero-inflation. In this paper, by using generalized linear models (GLMs), the claim frequency of Sepahan team during the period 2013-2014 is examined and analyzed by Poisson, zero-inflated Poisson, negative binomial and zero-inflated negative binomial models and finally suitable model for zero claims will be presented. Research finding shows that negative binomial and Poisson distribution presents the best fitness, meanwhile, the post of football players has a significant effect on the frequency of injury.

Nowadays healthy life style as a social dimension of health in academic world and making policy has considerable importance. Health promotion behaviors and conditions are beyond the limit impressible by structural factors and conditions. This research is conducted to examine influence of Socio-Demographic factors on daily sports activities among 15-34 years old youths in Iran urban areas by using secondary analysis of data from time use survey (2008-2009).bivariate analysis results indicated a different state in sports activities in a day among men and women, single and married, and different subgroups of activity and employment. Multivariate analysis results indicated that sex, employment status, education level has a powerful effect on sports activity. According to Overall result, we can say that structural variables have powerful effect on occurring of personal health-related behaviors.

Statistical business process is variously designed and implemented in different organizations. This makes it difficult to exchange the knowledge, benefit from the good practices and the cooperation between national and international organizations. In order to solve this problem and help statistical organizations discuss developing statistical metadata systems, General Statistical Business Process Model was introduced by the United Nations Economic Commission for Europe (UNECE).
The GSBPM is comprised of three levels: the statistical business process (level 0), eight phases of the statistical business process (level 1) and the sub-processes within each phase (level 2). The 8 phases are: Specify Needs, Design, Build, Collect, Process, Analyze, Disseminate and Evaluate. In this article, the structure of the model, all the phases and sub-processes are fully described. Next, some countrie's approach to the application of GSBPM is presented. At the end, by concentrating on 6 phase statistical surveys of SCI, there is a comparison between theses phases and GSBPM phases and sub-processes.

Employing a decision tree when classical methods are not applicable in the presence of various observations and variables becomes vital and important. Exploratory analysis, model detection, prediction and make decisions about large data are the most common usage of this method. If the response variable is categorical variable, it is known as classification tree. Comparing three different extraction methods, CART, CHAID, and QUEST of classification trees to predict sex preference for children of pre-marriage women by SPSS 22 was the main objective of this study. The data on this study consist of 6360 women referred to health centers to get premarital counseling which was collected by the multi-stage random sampling in 2014 in the whole country. The results showed that accuracy of all three classification tree algorithms in predicting sex preference for children are almost the same, but with regard to compliance CART to the existing theories, this model was considered as the final model. CART is a non-parametric method with easy interpretation feature that enables quick calculations and acquisitions to provide accurate results. According to the results of this tree, the ideal number of children, education level and women age are variables that affect sex preference.

Women make up half of the population of countries but generally their participation in economic activities is not proportional to their potential. Studies conducted by the International Monetary Fund show that if women enter the labor market to their full potential, the macroeconomic situation of the country will observe significant improvement. Studies show that generally, developing countries have a significantly different level of economic activity of women than men do. For example in 2016, the participation rate of men is about 69 percent while the rate is around 60 percent for women. With regards to Iran, these rates account for about 63 percent and 13 percent for men and women, respectively. In Middle Eastern countries a 21 percent participation rate for women has been noticed. Studies have shown that the difference between the participation of men and women in economic activities is the main factor in the reduction of the rate of economic growth in many countries. Sociological perspectives state the hypothesis that the difference between women’s economic participation in various countries is more due to economic factors. It also it derives from issues relating to traditional and custom living systems, and social and cultural institutions. Also, the lack of hope for women to seek the job they were exactly looking for could be another factor in this regard. This means that the high unemployment rate in this group is the reason for their disappointment and this is considered from the active population. By analyzing the data of the labor force survey of the Statistical Center of Iran regarding the reasons for not looking for a job among inactive women, it was shown that more than 70 percent of them had, personal or family related responsibilities, and about 2 percent of them were needless of a job and about 1 percent of them named discouragement from finding a job as a reason for not search for one. This information can confirm the effects of attitudes, values and cultural in women’s participation in economic activities. Results from the Statistical Center of Iran Time Use Survey in urban areas in summer 1394 shows the average time spent for men to do housework in men is negligible as compared to mean and this resin may reduce women’s enthusiasm toward economic activities. Thus, it stated that the low economic participation rate of women in Iran is stemmed more from economic factors than from cultural and traditional attitudes in the society.