Multivariate statistical analysis is utilized to explore the association between firm strategies, contributions made by venture capitalists and incentives for owners and employees and three exporting variables in a stratified random sample of 147 management buyouts and buyins. Firms focusing upon a diversified product/ service range and/or advertising were significantly more likely to be export...

This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on the...

Motivation Kallel (2005, 2007) has claimed that the time course of the change from a negative concord system to an NPI-based one in the history of English is better modeled by a quadratic function in logistic space than by a linear one. The use of logistic functions to model language change (and specifically syntactic change) was championed by Kroch (1989), and since the publication of that wor...

Recently there have been advances in strati ed sampling techniques that attempt to enforce equal distributions not only across the design variables, but also onto the design space itself. This requires a numerically intensive optimization routine. Until now, no optimization strategy was able to distribute sample points evenly in the design space, but Evolutionary Algorithms (EA) act as an enabl...

We consider the problem of stratified sampling for Monte Carlo integration of a random variable. We model this problem in a K-armed bandit, where the arms represent the K strata. The goal is to estimate the integral mean, that is a weighted average of the mean values of the arms. The learner is allowed to sample the variable n times, but it can decide on-line which stratum to sample next. We pr...