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The existence of data with different dependence structures motivates the development of models which can capture several types of dependence. In this paper we consider a stationary sequence of moving maxima vectors $$\{{\mathbf {X}}_n=(X_{n1},\ldots ,X_{nd})\}_{n\ge 1}$$ having innovations $${\mathbf {Z}}_{l,n}=(Z_{l,n,1},\ldots ,Z_{l,n,d})$$ with totally dependent margins for certain values of $$l,$$ $$l\in I_1,$$ and independent margins for the remaining values of $$l,$$ $$l\in I_2.$$ We obtain in this way a $$d$$ -dimensional process $$\{{\mathbf {X}}_n\}_{n\ge 1}$$ whose extremal dependence, measured by the tail dependence coefficients, lies between asymptotic independence and total dependence. The extremal properties of these M4 processes are studied and examined both theoretically and through simulation studies: we derive the multivariate extremal index, the tail dependence coefficients and co-movement indices.

The objective of this study is to advance a theoretical framework pertaining to how interpartner learning in international joint ventures (IJV) may affect IJV instability in emerging economies. The proposed framework expands the interpartner learning theory of IJV instability in the current literature, which is focused on absorptive learning of IJV partners, by incorporating IJV partners’ joint learning. Using longitudinal dyadic data from IJVs in China, we found that local and foreign IJV parties’ absorptive learning capacity decreases one party's dependence on the other, while joint learning capacity in IJV increases both parties’ dependence on each other. In addition, an IJV partner's absorptive learning capacity positively moderates the effect of joint learning capacity on its dependence on another partner. These findings lend support to the expanded interpartner learning perspective of IJV instability, and have important theoretical and managerial implications for IJVs in emerging economies. The results underscore the importance of the IJV actively developing organizational rules, procedures, and structures to create and embed new knowledge in order to maintain the stability of the IJV. Finally, we found that IJV partners’ dependence asymmetry increases IJV instability, whereas their total dependence decreases IJV instability.

Quality of life (QOL) after an episode of pulmonary embolism (PE) may be influenced by the factors related with the PE and its complications.

Tetraplegia produces exceptionally severe physical impairment causing disability which demands almost total dependence on others for the activities of daily living but there is no impairment of mental function. The tetraplegie is, therefore, capable of influencing his environment and those features of it which may lead to the need for readmission to hospital. Of the factors studied relating to readmission to hospital, only age and occupational status of the patient at the time of his paralysis are of significance.