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Lecture Notes in Statistics - Proceedings > Workshop on Branching Processes and Their Applications > Special Branching Processes > 71-78

*K*, near critical around that value, and subcritical below it. Although such population die out with probability one, their time to extinction is large. We show that this time is exponential in

*K*. Approximations to the populations size in various domains...

Lecture Notes in Statistics - Proceedings > Workshop on Branching Processes and Their Applications > Population Growth Models in Random and Varying Environments > 3-19

**Q**(

**y**) is used for the one-sample location problem. The test is then the spatial signed-rank test, and the estimate is the spatial Hodges-Lehmann estimate. The tests and estimates based on outer standardization as well as those based on inner standardization are again discussed.

*social network*connotes a social structure composed of individuals (or organizations), typically labeled as

*nodes*, linked by one or more relations, such as friendship, information sharing, financial transaction, and so on. Social network analysis uses a graphical representation where the individuals correspond to nodes in the graph and the presence of a relationship to

*edges*. The term social...

Lecture Notes in Statistics - Proceedings > Workshop on Branching Processes and Their Applications > Special Branching Processes > 95-108

Lecture Notes in Statistics - Proceedings > Workshop on Branching Processes and Their Applications > Applications in Epidemiology > 241-256

*d*-dimensional random vector $$X = (X_1 , \ldots ,X_d )$$ where $$d \ge 2$$ . Some of the measures discussed are multivariate extensions of wellknown bivariate measures such as Spearman’s rho, Kendall’s tau, Blomqvist’s beta or Gini’s gamma. Others rely on information theory or are...

Lecture Notes in Statistics - Proceedings > Workshop on Branching Processes and Their Applications > Applications in Epidemiology > 207-223

*m*infective and

*n*susceptible individuals. Each infective remains infectious for a period sampled independently from an arbitrary but specified distribution, during which...

SpringerBriefs in Computational Mechanics > Correction Formulae for the Stress Distribution in Round Tensile Specimens at Neck Presence > 1-16

Lecture Notes in Statistics - Proceedings > Synthetic Datasets for Statistical Disclosure Control > 27-37