Exploring the intersection of transnationalism and critical race theory: a critical race analysis of international student experiences in the United States

International student mobility to the United States (US) has increased over the past two decades. Despite the increase in numbers, international students may experience racism, nativism, and other forms of discrimination within the US context. Much of the existing literature focus on how international students can assimilate and cope with these issues rather than interrogating the systems of oppression that create negative student experiences. Thus, we utilized critical race theory (CRT) as a framework for interrogating how international student experiences are portrayed in current literature. Although CRT is grounded in US-based legal theory, we argue that CRT must move beyond the rigid confinement within US borders and expand to consider how transnationalism and global exchange contributes to the fluidity and applicability of this theory. We also provide recommendations for critical race praxis, with an emphasis on implications for practice, theory, and future research.     

On estimating census undercount in small areas

"Net undercount rates in the U.S. decennial census have been steadily declining over the last several censuses. Differential undercounts among race groups and geographic areas, however, appear to persist. In the following, we examine and compare several methodologies for providing small area estimates of census coverage by constructing artificial populations. Measures of performance are also introduced to assess the various small area estimates. Synthetic estimation in combination with regression modelling provide the best results over the methods considered. Sampling error effects are also simulated. The results form the basis for determining coverage evaluation survey small area estimates of the 1900 decennial census."     

Mixed model for analyzing geographic variability in mortality rates

"A mixed model is proposed for the analysis of geographic variability in mortality rates. In addition to demographic parameters and random geographic parameters, the model includes additional random-effects parameters to adjust for extra-Poisson variability. The model uses a gamma-Poisson distribution with a random scale parameter having an inverse gamma prior. An empirical Bayes approach is used to estimate relative risks for geographic regions and annual rates for demographic groups within each region. Lung cancer in Missouri is used to motivate and illustrate the procedure."     

An intelligent system for experimental design-some ideas

There is a growing movement towards the construction of statistical expert systems by statisticians to assist incertain aspects of their work. As one of the most'abused’ areas, experimental design could benefit from a system ofthis type. This paperoutlines some ideas on how a system for intelligently constructing designs could be built.     

Assessing Lund's critical values for testing for outliers in linear regression models

This note assesses Lund's critical bounds as approximations to the critical values of a size-a test for detecting single outlier in a multiple linear regression model. A Monte Carlo experiment shows that the empirical sizes are very close to the nominal sizes, and the regressors have little effect on the empirical sizes. Lund's tables are revised to higher accuracy.     

A GOODNESS OF FIT TEST BASED ON THE LINKED LINE CHART1

In this paper, we propose a graphical representation of data and a test statistic based on it for testing the goodness of fit of a completely specified null distribution. The graph is constructed as a linked line chart given by vectors which reflect the pattern of order statistics. The test statistic is defined as an area defined by our chart and its asymptotic distribution is derived under the null hypothesis. Computer simulations performed to study the power properties of our chart indicate that the test is powerful for scale alternatives. Furthermore, it is shown that our test is closely related to the Watson test.     

ON RESOLVABLE INCOMPLETE BLOCK DESIGNS1

A method of constructing resolvable incomplete block designs for v(=ks, 2 ≤ k ≤ s - 1) treatments in blocks of size k using mutually orthogonal Latin squares is proposed. It has been seen in particular that when the number of replications is s — 1 (or s), which is feasible if s is a prime or a prime power, the method gives PBIB (3) (or semi-regular GD) designs. The analysis of such designs has also been discussed.     

On the number of separable partitions

Consider partitions of a given set A of n distinct points in general position in ℝ ^d into parts where each pair of parts can be separated by a hyperplane that contains a given set of points E. We consider the problem of counting and generating all such partitions (correcting a classic 1967 result of Harding about the number of such partitions into two parts). Applications of the result to partition problems are presented.