Reflected spectrally negative stable processes and their governing equations
... When α = 2 we have w0α−1 = 1, w1α−1 = −1, and wkα−1 = 0 for k > 1, so that (1.4) reduces to the classical condition (1.3), i.e., the one-sided first derivative. In either case (α = 2 or 1 < α < 2), the boundary term enforces a no-flux condition at the point y = 0 in the state space. The connection bet ...
... When α = 2 we have w0α−1 = 1, w1α−1 = −1, and wkα−1 = 0 for k > 1, so that (1.4) reduces to the classical condition (1.3), i.e., the one-sided first derivative. In either case (α = 2 or 1 < α < 2), the boundary term enforces a no-flux condition at the point y = 0 in the state space. The connection bet ...
lecture notes on statistical inference
... • emerging of new challenges associated with massive highly dimensional data far exceeding traditional assumptions on which traditional methods of statistics have been based. In this introduction we give two examples that illustrate the power of modern computers and computing software both in analys ...
... • emerging of new challenges associated with massive highly dimensional data far exceeding traditional assumptions on which traditional methods of statistics have been based. In this introduction we give two examples that illustrate the power of modern computers and computing software both in analys ...
Ecological and methodological factors affecting
... reduced (Kendall et al. 1997, Bailey et al. 2004b). Further, the presence of non-random (e.g., Markovian) temporary emigration can substantially bias estimates of capture probability and survival (Kendall and Nichols 1995). Recent decades have seen rapid advances in the statistical analysis of mark- ...
... reduced (Kendall et al. 1997, Bailey et al. 2004b). Further, the presence of non-random (e.g., Markovian) temporary emigration can substantially bias estimates of capture probability and survival (Kendall and Nichols 1995). Recent decades have seen rapid advances in the statistical analysis of mark- ...
15. Poisson Processes
... (Ist arrival to Ist counter, 2nd arrival to 2nd counter, , mth to mth , (m +1)st arrival to Ist counter, ), then the new subqueues form Erlang-m processes. Interestingly, we can also derive the key Poisson properties (15-5) and (15-25) by starting from a simple axiomatic approach as shown below: ...
... (Ist arrival to Ist counter, 2nd arrival to 2nd counter, , mth to mth , (m +1)st arrival to Ist counter, ), then the new subqueues form Erlang-m processes. Interestingly, we can also derive the key Poisson properties (15-5) and (15-25) by starting from a simple axiomatic approach as shown below: ...
IS IT POSSIBLE TO FIND A GOOD POINT ESTIMATE OF A
... many users of C dates still try to present the results of calibration as a single point. This manner of presentation is often applied during the construction of age-depth models due to its convenience and simplicity. In this paper, the author tests whether it is possible to find a good point estimat ...
... many users of C dates still try to present the results of calibration as a single point. This manner of presentation is often applied during the construction of age-depth models due to its convenience and simplicity. In this paper, the author tests whether it is possible to find a good point estimat ...
ON THE MULTIPLICITY OF THE MAXIMUM IN A DISCRETE RANDOM SAMPLE B
... P (X1 = k)/P (X1 > k) → 0 as k → ∞. Eisenberg, Stengle and Strang (1993) go beyond the study of ρn and also discuss the distribution of Wn ; Brands, Steutel and Wilms (1994) and Kirschenhofer and Prodinger (1996) obtained rates of convergence in the geometric case. For the asymptotics of the maximum ...
... P (X1 = k)/P (X1 > k) → 0 as k → ∞. Eisenberg, Stengle and Strang (1993) go beyond the study of ρn and also discuss the distribution of Wn ; Brands, Steutel and Wilms (1994) and Kirschenhofer and Prodinger (1996) obtained rates of convergence in the geometric case. For the asymptotics of the maximum ...
... randomization and replication. But in environmental and ecological work, observations also fall in the non experimental, non- replicated, and nonrandom categories. The problems of model specification and data interpretation then acquire special importance and great concern. The theory of weighted dis ...