
doi: 10.1007/bf00048682
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Linear regression; mixed models, Kronecker product, Loewner ordering, global lower bound, Probabilistic methods, stochastic differential equations, monotonicity, lower bound principle, second derivative matrix, Linear inference, regression, monotonically converging sequence of iterates, multinomial logistic regression model, Newton-Raphson iteration
Linear regression; mixed models, Kronecker product, Loewner ordering, global lower bound, Probabilistic methods, stochastic differential equations, monotonicity, lower bound principle, second derivative matrix, Linear inference, regression, monotonically converging sequence of iterates, multinomial logistic regression model, Newton-Raphson iteration
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 380 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
