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Stochastic distribution

The quantities AUMC and AUSC can be regarded as the first and second statistical moments of the plasma concentration curve. These two moments have an equivalent in descriptive statistics, where they define the mean and variance, respectively, in the case of a stochastic distribution of frequencies (Section 3.2). From the above considerations it appears that the statistical moment method strongly depends on numerical integration of the plasma concentration curve Cp(r) and its product with t and (r-MRT). Multiplication by t and (r-MRT) tends to amplify the errors in the plasma concentration Cp(r) at larger values of t. As a consequence, the estimation of the statistical moments critically depends on the precision of the measurement process that is used in the determination of the plasma concentration values. This contrasts with compartmental analysis, where the parameters of the model are estimated by means of least squares regression. [Pg.498]

Differentiating spot and contract business specifically in procurement and integrating uncertainty and volatility using stochastic distribution functions and scenarios... [Pg.129]

The simulation control includes the methods of generating price simulation scenarios either manually, equally distributed or using stochastic distribution approaches such as normal distribution. In addition, the number of simulation scenarios e g. 50 is defined. The optimization control covers preprocessing and postprocessing phases steering the optimization model. The optimization model is then iteratively solved for a simulated price scenario and optimization results including feasibility of the model are captured separately after iteration. Simulation results are then available for analysis. [Pg.251]

O Brien, E. E. (1966). Closure approximations applied to stochastically distributed second-order reactions. The Physics of Fluids 9, 1561-1565. [Pg.420]

Normal gas-source mass spectrometers do not allow meaningful abundance measurements of these very rare species. However, if some demands on high abundance sensitivity, high precision, and high mass resolving power are met, John EUer and his group (e.g., Eiler and Schauble 2004 Affek and Eiler 2006 EUer 2007) have reported precise (<0. l%c) measurements of CO2 with mass 47 (A47-values) with an especially modified, but normal gas-source mass spectrometer. A47-values are defined as %o difference between the measured abundance of all molecules with mass 47 relative to the abundance of 47, expected for the stochastic distribution. [Pg.15]

Spontaneous absolute asymmetric synthesis is described in the formation of enantiomerically enriched pyrimidyl alkanol from the reaction of pyrimidine-5-car-baldehyde and /-Pr2Zn without adding chiral substance in combination with asymmetric autocatalysis. The approximate stochastic distribution of the absolute conhgurations of the product pyrimidyl alkanol strongly suggests that the reaction is a spontaneous absolute asymmetric synthesis. [Pg.271]

The following problem is in a certain sense the inverse of the one treated in the two preceding sections. Consider a photoconductor in which the electrons are excited into the conduction band by a beam of incoming photons. The arrival times of the incident photons constitute a set of random events, described by distribution functions/ or correlation functions gm. If they are independent (Poisson process or shot noise) they merely give rise to a constant probability per unit time for an electron to be excited, and (VI.9.1) applies. For any other stochastic distribution of the arrival events, however, successive excitations are no longer independent and therefore the number of excited electrons is not a Markov process and does not obey an M-equation. The problem is then to find how the statistics of the number of charge carriers is affected by the statistics of the incident photon beam. Their statistical properties are supposed to be known and furthermore it is supposed that they have the cluster property, i.e., their correlation functions gm obey (II.5.8). The problem was solved by Ubbink ) in the form of a... [Pg.388]

A critical point, in our view, is that performing experiments with short pulses allows one to observe the behavior of individual molecules by forcing the whole ensemble to travel together (this is literally what coherence means) until dissipation sets in. But when the process is initiated with incoherent light, individual molecules behave in the same way as they did in the short-pulse experiment, except that now there is a stochastic distribution of... [Pg.177]

This equation is true for a stochastic distribution of two possible positions. If there are three conformations containing an angle of 120° we have... [Pg.49]

Indeed, when 2-alkynylpyrimidine-5-carbaldehyde was reacted with z-Pr2Zn in a mixed solvent of ether and toluene, the subsequent one-pot asymmetric autocatalysis with amplification of ee gave enantiomerically enriched pyrimidyl alkanol 12 well above the detection level [103]. The absolute configurations of the pyrimidyl alkanol exhibit an approximate stochastic distribution of S and R enantiomers (formation of S 19 times and R 18 times) (Fig. 6). [Pg.22]

In this paper, we will consider only the dynamic aspects of this percolation problem, i.e., the stochastic distribution of velocities between the flow structures. To analyze a percolation process, it is useful to represent the scattering medium (i.e. the packed bed) by a lattice as depicted in Figure 2. The sites of the lattice correspond to the contact points between the particles whereas the bonds correspond to the pores connecting two neighbour contact points. The walls of these pores are delimited by the external surface of the particles. The percolation process is... [Pg.409]

Kinetics measured may differ per batch of catalyst as manufactured by the supplier. It is evident that these differences will never be too large, at least for the experienced manufacturers (not more than a factor of 2-3 under identical test conditions) and that these small changes can be compensated for by changing the operating conditions, such as the reaction temperature. In the same batch of catalyst the individual catalyst pellets will exhibit a stochastic distribution of their properties. Therefore, for catalyst testing and rate determinations, a catalyst sample has to be taken sufficiently large that it is representative of the average of the entire batch. This often has to be determined empirically. [Pg.21]

The analysis of dynamic links for networks with locations where the time of service is stochastically distributed (computer networks, internet networks, etc.). [Pg.257]

Passivity breakdown appears to occur preferentially at local heterogeneities, such as inclusions, grain boundaries, dislocations, and flaws on the passive metal surface. In the case of stainless steels, the passivity breakdown and pit initiation occur almost exclusively at sites of MnS inclusions, and the pitting potential was observed to decrease linearly with the increasing size of MnS inclusions [44]. With metals containing no apparent defects, however, passivity breakdown is likely to occur in the presence of sufficient concentrations of film breaking ions. It is worth noting that any of the localized phenomena is nondeterministic but somehow stochastic. For stainless steels in chloride solution, the passivity breakdown was found to obey a stochastic distribution [45]. [Pg.564]

We envisage that the fluid flow takes place in a 3-dimensional network of fractures (or channels) with a stochastic distribution of conductances (Moreno and Neretnieks 1993). In each channel the stream of water will be in contact with the rock surfaces. Intuitively it is conceived that the larger the contact surface there is for a given stream of water the stronger will be the interaction between flowing water and rock. This is the key issue in the paper. Several models have been proposed that account for the matrix diffusion effects. In all, the ratio of FWS to flowrate q enters as a key entity. In this paper we use a 3-dimensional fracture network model that is simplified by letting each fracture... [Pg.384]

Oda (1986) deduced the permeability tensor of jointed rock mass by the theory of statistics, which not only considered the connectivity of fractures, but also the stochastic distributions of the geometrical parameters. Whereas probabilistic density is quite complex, therefore it is quite difficult for practical use. Zhu (1997) deduced the mathematic expression of a permeable tensor for an equivalent continuum given by... [Pg.765]

Of course, these reactions are not true examples of absolute asymmetric synthesis because the first excess of the i -enantiomer formed on the base of stochastic distribution served as the trigger for the next repeated reactions similar to the iniating crystal in spontaneous crystallization. [Pg.56]

Soai et al repeated these reactions without adding an asymmetric inductor carrying out 37 separate runs rather then successive reactions as in Singleton s experiments, and they obtained both R- and S -products, showing almost stochastic distribution S -products were formed 19 times and R-products 18 times, with ee values of up to 91 %. The small deviation from stochastic distribution was. due to unknown chiral factors... [Pg.56]

It needs to be noted that this case is not a true as5munetric s5mthesis as Soai claimed, because during the 37 runs approximately an equal number of R- and S-alkanols were obtained with a stochastic distribution that was similar to racemic separations in spontaneous crystallization (Kondepudi et al. ). [Pg.56]

If the PRBS-Period consists of N = 2"-l (n > 4) time intervalls (At) with stochastic distributed tracer pulses (concentration c), than the auto correlation function is... [Pg.37]

Each work package in the WBS is decomposed into the activities required to complete its predefined scope. A list of activities is constructed and the time to complete each activity is estimated. Estimates can be deterministic (point estimates) or stochastic (distributions). Precedence relations among activities are defined, and a model such as a Gantt chart, activity on arc (AOA), or activity on nodes (AON) network is constructed (Shtub et al. 1994). An initial schedule is developed based on the model. This unconstrained schedule is a basis for estimating required resources and cash. Based on the constraint imposed by due dates, cash and resource avaUabUity, and resource requirements of other projects, a constrained schedule is developed. Further tuning of the schedule may be possible by changing the resource combination assigned to activities (these resource combinations are known as modes). [Pg.1245]

The IGTT model and its many elaborations have been widely used in studies of microheterogeneous systems. The model is based on the stochastic distribution of probes and quenchers over the confinements. Before discussing it, however, we approach the problem from the aspect of diffusion-limited reactions and consider how a change from a homogeneous three-dimensional (3-D) solution into effectively 2-D, 1-D, and 0-D systems (with 0-D we refer to a system limited in all three dimensions such as a spherical micelle) will affect the diffusion-controlled deactivation process. The stochastic methods apply only to the zero-dimensional systems we present some of the elaborations of the IGTT model with particular relevance to microemulsion systems and the complications that arise therein. We then review and discuss some of the experimental studies. It appears as if much more could be done with microemulsions, but the standard methods from studies of normal micelles have to be used with utmost care. [Pg.606]

Analysis of the PDF of alkali-alkali ions in (0.5Li-F0.5Na)2O.3SiO2 and (0.oLi-F0.5Ka)2O.iM2D3.2SiO2 glasses reveals a random or stochastic distribution of the two types of alkali and indicates that the pairing of Li-Na ions is not preferential to that of Li-Li and Na-Na in either system so that such pairing of Li-Na ions is not preferential to that of Li-Li and Na-Na in either system so that such pairing is not a necessary part of a successful model of the mixed-alkali effect. [Pg.254]


See other pages where Stochastic distribution is mentioned: [Pg.868]    [Pg.154]    [Pg.493]    [Pg.420]    [Pg.15]    [Pg.269]    [Pg.270]    [Pg.38]    [Pg.584]    [Pg.68]    [Pg.112]    [Pg.185]    [Pg.23]    [Pg.27]    [Pg.29]    [Pg.176]    [Pg.351]    [Pg.629]    [Pg.401]    [Pg.368]    [Pg.489]    [Pg.491]    [Pg.147]    [Pg.46]    [Pg.43]   
See also in sourсe #XX -- [ Pg.498 ]




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