Toward the establishment of a family of distributions that may fit any dataset

This article presents a review and comparison of the most important expanded families of distributions. We set the essential requirements by which an expanding family can fit any dataset successfully. A new method is proposed to construct families, which fulfill these essential requirements. Consequently, two families are suggested, which are more tractable than many other known families and possess very wide range of the indices of skewness and kurtosis. The article is motivated by two applications to real dataset.     

Teaching crisis management in Arab universities: A critical assessment

This research looks at the teaching of crisis management at the colleges and departments of communication and public relations in the Arab world. Major findings of the study suggest that out of 24 colleges and departments of communication and public relations surveyed by this research, only two universities teach the course crisis management in their curriculum. The latest developments in the Arab world dictate new mechanisms in managing information and news and dealing with publics and the mass media locally and internationally. The new trends of teaching crisis management focus on the multidisciplinary approach which consists of a good knowledge of news management, dealing with the media, dealing with people, business administration, information technology, social and anthropological context. All these fields of knowledge are indispensable for understanding the general background of the issues and for choosing and selecting the best communication and persuasion techniques and tactics to manage crises effectively and successfully.     

Migration and women's status: the Jordan case

This study examines whether women's improved status is dependent upon fulfillment of husbands' roles after their departure and the degree of success in economic participation. The sample includes 518 households with out-migrant husbands (HOMH) and 532 households with resident spouses (HRS). HRS were located in the same cluster as HOMH. The samples are not nationally representative. HOMH are distinctive in their having higher educational levels. A larger percentage of migrant wives perform household tasks by themselves. Wives of migrant husbands, who worked in the labor force, have a greater burden of work after departure. 52% of migrant wives decreased the number of social visits to family and friends. Migrant households have fewer relatives and parents living in the household. 40% report improvement in spousal relations and 41% report no change. 19-21% report that the wife's relations with relatives improved. Findings contradict conclusions by Kamiar and Isamil. The proportion of children attending school was higher among HOMH. 13% of married women in HOMH and 7% of married women in HRS participate in the labor force. After controlling for educational levels, findings indicate that labor force activity is still greater among migrant wives. Almost 50% join the labor force after their husband's departure. None work in agriculture. Labor force participation rates remain high during the first 15 years of migration. Participation declines after 15 years and as husbands reach age 40. Wives view their husbands' migration as beneficial.     

A hard clustering approach to the part family formation problem

The part family problem in group technology can be stated as the problem of finding the best grouping of parts into families such that the parts within each family are as similar to each other as possible. In this paper, the part family formation problem is considered. The problem is cast into a hard clustering model, and the k-means algorithm is proposed for solving it. Preliminary computational experience on the algorithm is very encouraging and it shows that real-life problems of large sizes can efficiently be handled by this approach.     

The estimations under power normalization for the tail index,with comparison

It is well known that the max-stable laws under power normalization attract more distributions than that under linear normalization. This fact practically means that the classical linear model (L-model) may fail to fit the given extreme data, while the power model (P-model) succeeds to do that. The main object of this paper is developing the modeling of extreme values via P-model by suggesting a simple technique to obtain a parallel estimator of the extreme value index (EVI) in the P-model for every known estimator to the corresponding parameter in L-mode. An application of this technique yields two classes of moment and moment ratio estimators for EVI in the P-model. The performances of these estimators are assessed via a simulation study. Moreover, an efficient criterion for comparing the L and P models is proposed to choose the best model when the two models successfully work.     

Income Dependency on Non-timber Forest Products: An Empirical Evidence of the Indigenous People in Peninsular Malaysia

The indigenous people have been identified to be among the poorest and the most socioeconomically and culturally marginalized people all over the world. The main purpose of the paper is to explore the socioeconomic and demographic factors of indigenous people in Peninsular Malaysia in context of poverty and the role of income dependency of non-timber forest products (NTFP). The data were collected in 2014 and 2015 through primary and secondary sources. Partial least squares (PLS) method was used to analysis the data. PLS is a modeling technique that features multiple regression and principal component analysis. The study shows that still a large number of indigenous households is involved in the NTFP activities. But the communities are moving away from NTFP based income to cash-crop based income because of poor sustainable forest management and lack of forest property rights. However, NTFP have a significant role in the household income and contribute 24% of the average income. Moreover, the analysis shows that location is significant to the poverty. There should be a suitable sustainable forest management system which can teach these indigenous communities about proper way of NTFP gathering and given proper rights to forest land. Furthermore, education is not significant to indigenous people and there is a high rate of school dropout among them. The government should introduce a different education system for indigenous communities which will emphasize the importance of education to them.     

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Construction is one of the industries of strategic economic importance. Governments using their national institutions are involved in the collection of economic statistics, which indicate the state of their economy in the form of an annual time series. However, the completeness and accuracy of these statistics is frequently questioned by the stakeholders within the sector. Therefore there is an increasing need for accurate, manageable and reliable statistics to enable sound analysis of the construction sector. The main purpose of this research is to review building construction statistics in Turkey. The objectives of the review are to 1) engage with users to ascertain their views on the statistics and to identify their needs, and 2) investigate whether the statistics in their present form continue to meet user needs, and identify options for change. As part of the review, a user consultation exercise is carried out to identify whether user needs are met by the statistics, as well as to ascertain users’ views on the European Statistical System (ESS) key dimensions of the quality of the statistics. This review of building construction statistics will facilitate statistical information to be presented in a more comprehensive manner, with sufficient detail, highly reliable in terms of quality and responsive to dynamic changes of the sector (such as inflation and structural adjustment policies).     

Bootstrap Method for Order Statistics and Modeling Study of the Air Pollution

In this article, the block maxima (BM) and the peak over threshold (POT) methods are used to model the air pollution. A simulation technique is suggested to choose a suitable threshold value. The validity of the estimated models is checked by the Kolmogorov–Smirnov (K-S) test. A new efficient approach for modeling extreme values is suggested. Finally, the inconsistency and weak consistency of bootstrapping central and intermediate order statistics for an appropriate choice of re-sample size are investigated.