Medidas no arancelarias a las importaciones
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Joint modelling of repeated measurements and time-to-event outcomes: flexible model specification and exact likelihood inference.
... The random-effects or shared parameter approach to jointly modelling repeated measurement and event time data is conceptually attractive in many settings, but its routine application is hampered by ...
MEXIT : Maximal un coupling times for stochastic processes
... certain random variables by means of judicious construction in ways which depend on other random variables (Lindvall [15] and Thorisson ...to stationary distributions (Pitman [21]), especially for ...
Discrete Time Frequency Signal Analysis and Processing Techniques for Non Stationary Signals
... and time-varying ...to process the stationary signals in which they transform the signals from time-domain to frequen- cy-domain and vice versa ...The stationary signals do not change ...
On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration
... of time. Even more time has been considered as a continuous variable which is not exactly the case in ...problem, time is always treated as a discrete variable, in terms of complete unit of ...
A survey of generalized inverses and their use in stochastic modelling
... so that we have a much easier procedure for classifying the g-inverses of I – P. Knowledge of the parameters α , β , γ can provide useful information in determining the stationary distribution and moments of the ...
Discrete random variables
... A random variable (denoted by X , Y , …) is a variable whose value is determined by the outcome of a random ...the random variable X could be defined as the number of 6s ...
On the generation of inelastic secondary system seismic response spectra
... A lot of works have been presented related to this procedure, but still nowadays many questions are not completely answered, and the engineer assumptions lead to different amount of conservatism in the analyses results, ...
A novel stochastic linearization framework for seismic demand estimation of hysteretic MDOF systems subject to linear response spectra
... different stationary random process compatible with the excitation response spectrum with damping ratio equal to the oscillator effective critical damping ...
Existence of stationary distributions for a class of nonlinear time series models in random environment domain
... Existence of stationary distributions for a class of nonlinear time series models in random environment domain Yueheng Wang1, Enwen Zhu1* and Yong Xu2 * Correspondence: engwenzhu@126.com[r] ...
Simulation of Seismic Waves
... However, most existing engineering simulations are based on Fourier analyses, which is for stationary random processes, while seismic waves are non-stationary random [r] ...
Rank-driven Markov processes
... [0, A] where A is chosen large enough so that the processes reach 0 before leaving [0, A] with high probability. Given such an A, we choose N large enough so that on this finite interval (8.3) ensures that the two Markov ...
Numerical algorithm for discrete barrier option pricing in a Black-Scholes model with stationary process
... pricing discrete down–and–out call option and both down–and–out, up– and–out hedging on a underlying stock which could be expired its worth if a lower or upper barrier touches the continuous path of stock value at ...
Bad configurations for random walk in random scenery and related subshifts
... The authors are grateful to Frank Redig (Eindhoven) for discussions, to the Lorentz Center (Leiden) for hospitality, and to the European Science Foundation Scientific Program ‘‘Random Dynamics in Spatially Extended ...
On Ciphers Coming to a Stationary State of Random Substitution
... It is acknowledged in cryptographic literature that ciphers asymptotically (with the increase of the number of rounds) come to a uniform distribution of differential and linear probabilities (XOR transitions tables of ...
Stationary measures for random walk on a half-line
... An account of conjugate variables, and results obtained by using them, may be found in Keilson [1965] and Heathcote [1967], and in Feller [1966], where they are called associated variables. As in Chapter II, we let ...
Stationary random response of multidegree-of-freedom systems
... SUMMARY AND CONCLUSIONS A matrix algebra approach for determining the mean vector and the instantaneous correlation matrices of the stationary random response of a multidegree-of-freedom[r] ...
Stationary solutions for integer valued autoregressive processes
... the process that is similar to the one given by Lawrance [12] for the gamma AR(1) process (see also McKenzie [15] for the case of the negative binomial INAR(1) ...shot-noise process is defined ...
Approximate analysis of a discrete-time polling system with bursty arrivals
... have dealt with finite buffer polling systems in discrete-time or in continuous-time.. analyzed a discrete-time polling system with finite buffer capacity under bursty arrival process. T[r] ...
SPATIAL EXTRAPOLATION OF ANISOTROPIC ROAD TRAFFIC DATA
... There are several interesting perspectives for further research. In particular, using methods recently developed in Heinrich et al., 2004, Klenk et al., 2004, and Schmidt and Spodarev, 2004, models of stochastic geometry ...
Electrochemical Noise Measurement Technique in Corrosion Research
... Various workers have studied noise measurement/analysis in corrosion and electrochemistry. Iverson[43], using a voltmeter of high impedance type (II megohms) with a chopper stabilized circuit and an inert auxillary ...