Statistical test based on intuitionistic fuzzy hypotheses

In this paper, the classical statistical test based on intuitionistic fuzzy hypotheses in relation to the underlying population parametric is extended. In this approach, the type-I, type-II, power of test, and p-value are extended for intuitionistic fuzzy hypotheses. Throughout the paper, some applied examples are provided for both parametric and non parametric cases to clarify the discussions.     

AN EXPERIMENTAL STUDY OF KIN AND ETHNIC FAVORITISM

Ethnic and kinship ties have long been viewed as potential catalysts for favoritism, and hence corruption. In experiments conducted in three countries, we recruit siblings, coethnics and strangers and vary the relationship(s) between the players of a game to observe how kin and ethnic ties influence the willingness of two players to benefit one another at the expense of a third party. We see universal sibling favoritism, but ethnic favoritism, and favoritism toward other in-group members (friends) varies. We argue this may be driven in part by kinship institutions, since favoritism is more common in societies with denser kin networks. ( JEL D9, C9, D73, J12)     

A sustainable supply chain network considering lot sizing with quantity discounts under disruption risks: centralized and decentralized models

This study proposes a framework for the main parties of a sustainable supply chain network considering lot-sizing impact with quantity discounts under disruption risk among the first studies. The proposed problem differs from most studies considering supplier selection and order allocation in this area. First, regarding the concept of the triple bottom line, total cost, environmental emissions, and job opportunities are considered to cover the criteria of sustainability. Second, the application of this supply chain network is transformer production. Third, applying an economic order quantity model lets our model have a smart inventory plan to control the uncertainties. Most significantly, we present both centralized and decentralized optimization models to cope with the considered problem. The proposed centralized model focuses on pricing and inventory decisions of a supply chain network with a focus on supplier selection and order allocation parts. This model is formulated by a scenario-based stochastic mixed-integer non-linear programming approach. Our second model focuses on the competition of suppliers based on the price of products with regard to sustainability. In this regard, a Stackelberg game model is developed. Based on this comparison, we can see that the sum of the costs for both levels is lower than the cost without the bi-level approach. However, the computational time for the bi-level approach is more than for the centralized model. This means that the proposed optimization model can better solve our problem to achieve a better solution than the centralized optimization model. However, obtaining this better answer also requires more processing time. To address both optimization models, a hybrid bio-inspired metaheuristic as the hybrid of imperialist competitive algorithm (ICA) and particle swarm optimization (PSO) is utilized. The proposed algorithm is compared with its individuals. All employed optimizers have been tuned by the Taguchi method and validated by an exact solver in small sizes. Numerical results show that striking similarities are observed between the results of the algorithms, but the standard deviations of PSO and ICA–PSO show better behavior. Furthermore, while PSO consumes less time among the metaheuristics, the proposed hybrid metaheuristic named ICA–PSO shows more time computations in all small instances. Finally, the provided results confirm the efficiency and the performance of the proposed framework and the proposed hybrid metaheuristic algorithm.

     

Immigration Policy in Australia,Canada, New Zealand,and the United States: An Overview of Recent Trends

Immigration policies in most host nations of the west have undergone significant changes in recent years. Based on the four country‐specific papers that appear in this section of the journal, and also on our own research, we present an overview of these changes and their context. In all countries, economic considerations play a central role in shaping immigration policy and greater importance is given to scientific research. Several common policy changes are noted in Australia, Canada and New Zealand which include: a shift away from a human capital focus toward more targeted selection based on labor market demand for specific skills, increased emphasis on temporary foreign worker programs, attraction of international students, an overhauling of the refugee system, and regionalization of immigration. In the U.S., while adoption of some of these changes has often surfaced in public policy and academic discussions, legalization of unauthorized migrants remains an important policy debate, with recent arguments focusing on the economic benefits of legalization.     

On characterization results based on the number of observations near the k-records

In this paper, using the completeness properties of the sequence of functions {h_n(x)=(?log x)ⁿ, 0<x<1, n≥1}, some characterization results are established. The results are based on the number of observations near the k-records. It is shown that the equality of the moment of the appropriate subsequence of the number of observations near to upper and lower k-records is a characteristic property of symmetric distributions. Since ordinary record values are contained in the k-records, the results hold for usual records as a particular case.     

Simultaneous Confidence Bands for Linear Regression with Covariates Constrained in Intervals

Abstract. The focus of this article is on simultaneous confidence bands over a rectangular covariate region for a linear regression model with k>1 covariates, for which only conservative or approximate confidence bands are available in the statistical literature stretching back to Working & Hotelling (J. Amer. Statist. Assoc. 24 , 1929; 73–85). Formulas of simultaneous confidence levels of the hyperbolic and constant width bands are provided. These involve only a k‐dimensional integral; it is unlikely that the simultaneous confidence levels can be expressed as an integral of less than k‐dimension. These formulas allow the construction for the first time of exact hyperbolic and constant width confidence bands for at least a small k(>1) by using numerical quadrature. Comparison between the hyperbolic and constant width bands is then addressed under both the average width and minimum volume confidence set criteria. It is observed that the constant width band can be drastically less efficient than the hyperbolic band when k>1. Finally it is pointed out how the methods given in this article can be applied to more general regression models such as fixed‐effect or random‐effect generalized linear regression models.     

Nonparametric estimators for quantile density function under length-biased sampling

Abstract

In this article, the strong uniform consistency of two nonparametric estimators for the quantile density function is established under length-biased sampling. The rate of the strong approximation of the resulting processes of these estimators will be presented as well. A Monte Carlo simulation study is carried out to compare the proposed estimators with each other in terms of mean squared errors.     

Immigrant "quality" in Canada: more direct evidence of human capital content, 1956-1994

"This article provides direct evidence about educational attainments of new arrivals in Canada over the period 1956 to 1994.... Immigrant data are also compared with the educational attainment of the Canadian-born population in corresponding periods.... Results show that, in the total immigrant inflows of any subperiod since 1956, the percentages of those with high school education or less have been declining and have been lower than those for the Canadian-born population, while the percentages of those with university degrees have been rising and have been higher than those for the Canadian-born population."