, however, are too stringent in their assumptions for most ecological multivariate data sets. Non-parametric methods, based on permutation tests, are preferable. This paper describes a new non-parametric method for multivariate analysis of variance, after McArdle and Anderson (in press). It is given here

Question: is this situation a win for white?

that is part of McRT, an experimental Multi-Core RunTime. The McRT-STM implementation uses a number of novel algorithms, and supports advanced features such as nested transactions with partial aborts, conditional signaling within a transaction, and object based conflict detection for C/C++ applications. The Mc

Forecast evaluation often compares a parsimonious null model to a larger model that nests the null model. Under the null that the parsimonious model generates the data, the larger model introduces noise into its forecasts by estimating parameters whose population values are zero. We observe

We propose a new approach to the use of circumscription for representing knowledge. Nested abnormality theories are similar to simple abnormality theories introduced by McCarthy, except that their axioms may have a nested structure, with each level corresponding to another application

have been used to explain the relationship of perceived organizational support and leader-member exchange with employee attitudes and behavior. Recent empirical re-search suggests that individuals engage in different reciprocation efforts depending on the exchange partner (e.g., B. L. McNeely &

be extended to nested and mutual recursion in a straightforward way. We give some examples of algorithms whose termination can now be proved automatically (including well-known challenge problems such as McCarthy's f_91 function).

A recursive definition of a function / is called nested if, in the definition body, the function f is called with an argument whose evaluation involves yet another call to function /. A famous example of such a nested recursive definition is "McCarthy's 91-function"

Carlo (MC) integration algorithms of-fer solutions of ever increasing efficiency. Nested sampling (NS) is one such contemporary MC strategy targeted at calculation of the Bayesian evidence, but which also enables poste-rior inference as a by-product, thereby allowing simultaneous parameter estimation

Abstract—Two distinctly dierent nested logit models have been widely used in both research and applica-tions. The dierences, not widely recognized, between these models will substantially influence estimation results, behavioral interpretation and policy analysis. The McFadden nested logit model