World War Two and the Deradicalization of American Labor: A 'Deviant Case' Study

Also CSST Working Paper #20.http://deepblue.lib.umich.edu/bitstream/2027.42/51151/1/383.pd

Conflict or Collaboration: A Comparative Analysis of Employer Responses to Unionization

http://deepblue.lib.umich.edu/bitstream/2027.42/51101/1/333.pd

Random Acts of Kindness

Introducing the concept of random acts of kindness and compassion I recommend that you get a copy of the book Random Acts Of Kindness.\u27\u27 (Editors of Conari Press. 1993. Emeryville, CA). Set the stage by reading examples of the random acts of kindness illustrated in the book. This can be followed by a discussion of the following question and the background material related to volunteerism in America. Some background material follows, after this you\u27ll find 4 exercises

Bringing Unions Back In (Or, Why We Need a New Old Labor History)

Also CSST Working Paper #40.http://deepblue.lib.umich.edu/bitstream/2027.42/51181/1/414.pd

Community Service Learning Packet

This learning packet contains a set of exercises designed to stimulate the student\u27s thinking about their community and the value of community service. It begins with a personal definition of the word community. From this definition, the student then gathers information about the school community. Hopefully, by attending school club meetings students will increase their sense of belonging and learn about options for volunteering at their campus. The notion that young people are selfish and hedonistic is examined in a section about stereotypes and biased news reporting. To break up the worksheet sequence two movie assignment guides are provided, where students view stories of compassion or caring and documentaries about youth performing volunteer service

Some results on Tchebycheffian spline functions

AbstractThis report derives explicit solutions to problems involving Tchebycheffian spline functions. We use a reproducing kernel Hilbert space which depends on the smoothness criterion, but not on the form of the data, to solve explicitly Hermite-Birkhoff interpolation and smoothing problems. Sard's best approximation to linear functionals and smoothing with respect to linear inequality constraints are also discussed. Some of the results are used to show that spline interpolation and smoothing is equivalent to prediction and filtering on realizations of certain stochastic processes

Perturbed Markov Chains

We study irreducible time-homogenous Markov chains with finite state space in discrete time. We obtain results on the sensitivity of the stationary distribution and other statistical quantities with respect to perturbations of the transition matrix. We define a new closeness relation between transition matrices, and use graph-theoretic techniques, in contrast with the matrix analysis techniques previously used.Comment: 22 page

Threshold copulas and positive dependence

Starting with a notion of positive dependence View the MathML source and with the family of the lower threshold copulas Ct associated with a bivariate distribution having copula C, we define different notions of positive dependence for C, reflecting the dependence properties of the copulas Ct for some t. Then, we analyze some structural aspects of lower threshold copulas and of the given definitions. Furthermore we consider several specific cases arising from relevant special choices of View the MathML source (e.g., PQD, LTD, TP2 and PLR). Our analysis, in particular, allows us to present a number of relevant examples and counter-examples, which can be useful in the study of the tail dependence for a bivariate distribution

Min and max scorings for two-sample ordinal data

Journal of the American Statistical Association, March 1992, Vol. 87, No. 417, Theory and MethodsTo analyze two-sample ordinal data, one must often assign some increasing numerical scores to the ordinal categories. The choice of appropriate scores in these types of analyses is often problematic. This article presents a new approach for reporting the results of such analyses. Using techniques of order-restricted inference, we obtain the minimum and maximum of standard two-sample test statistics over all possible assignments of increasing scores. If the range of the min and max values does not include the critical value for the test statistics, then we can immediately conclude that the result of the analysis remains the same no matter what choice of increasing scores is used. On the other hand, if the range includes a critical value, the choice of scores used in the analysis must be carefully justified. Numerous examples are given to clarify our approach