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We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting… Expand Abstract Eigenvectors, and the related centrality measure Bonacich's c(β), have advantages over graph-theoretic measures like… Expand We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit… Expand The problem of choosing the correct number of clusters is as old as cluster analysis itself. A number of authors have suggested… Expand From the Publisher:
Artificial "neural networks" are now widely used as flexible models for regression classification… Expand Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory… Expand A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the… Expand A circuit implementation of the chaotic Lorenz system is described. The chaotic behavior of the circuit closely matches the… Expand Binary response variables special logistical analyses some complications some related approaches more complex responses… Expand