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Complementary probability

For the initial period, i.e., for the period immediately following the nucleation pulse excitation, the probability of observing at least one nucleation event, fm>i. is equal to the complementary probability, Pni=o = (1 - Fm>i), that zero nucleation events are observed. Hence,... [Pg.211]

The complementary probability distribution, i.e. the probability for an earthquake with a magnitude larger than M, is... [Pg.139]

Fig. 4.21 Probability density function, probability distribution and complementary probability distribution for the earthquake acceleration be for an earthquake with a focal depth of h = 18 km and a site at a distance of r = 2 km from its epicentre... Fig. 4.21 Probability density function, probability distribution and complementary probability distribution for the earthquake acceleration be for an earthquake with a focal depth of h = 18 km and a site at a distance of r = 2 km from its epicentre...
In the example above, if A is a spill, then its complementary event, A s there is no spill. According to the rule of complementary probability, P(A) + P( A) = 1. (This is simply another way of saying that there will either be a spill or there will not.) Therefore, if the safety manager want to find the probability of there not being a spill, he or she could calculate P(A) = 1 -P(A).Fromabove,P(A) =. 12,thereforeP(A) = 1 -. 12 =. 88, or an 88% probability that there will not be a spill this month. [Pg.30]

Percolation theory represents a random composite material as a network or lattice structure of two or more distinct types of microscopic objects or phase domains. These objects will be referred to as black and white, representing mutually exclusive physical properties of some sort. The network onto which black and white elements of the composite medium are distributed could be continuous (continuum percolation) or discrete (discrete or lattice percolation) it could be a disordered or regular network. With a probability p, a randomly chosen percolation site will be occupied by a white element. With the complementary probability (1 — p), the element occupying the site will be black. ... [Pg.254]

For lattice percolation, two types of problems are distinguished. For the hitherto described site percolation problems, clusters are formed by white or black sites of the lattice. For bond percolation, the same statistical concept is applied to the connections or bonds between lattice sites with probability / , a randomly chosen bond will be occupied by a white element and otherwise, that is, with the complementary probability (1 — / ), the bond will remain black. Such a system is depicted in Figure 3.43a. [Pg.255]

Qualitative analysis methods should have well-grounded and generally adopted quantitative reliability estimations. At first the problem was formulated by N.P. Komar in 1955. Its actuality increased when test methods and identification software systems (ISS) entered the market. Metrological aspects evolution for qualitative analysis is possible only within the scope of the uncertainty theory. To estimate the result reliability while detecting a substance X it is necessary to calculate both constituents of uncertainty the probability of misidentifications and the probability of unrevealing for an actual X. There are two mutual complementary approaches to evaluate uncertainties in qualitative analysis, just as in quantitative analysis ... [Pg.24]

Initial results prove the high potential of LA-based hyphenated techniques for depth profiling of coatings and multilayer samples. These techniques can be used as complementary methods to other surface-analysis techniques. Probably the most reasonable application of laser ablation for depth profiling would be the range from a few tens of nanometers to a few tens of microns, a range which is difficult to analyze by other techniques, e. g. SIMS, SNMS,TXRE, GD-OES-MS, etc. The lateral and depth resolution of LA can both be improved by use of femtosecond lasers. [Pg.240]

Risk is defined as tlie product of two factors (1) tlie probability of an undesirable event and (2) tlie measured consequences of the undesirable event. Measured consequences may be stated in terms of financial loss, injuries, deatlis, or Ollier variables. Failure represents an inability to perform some required function. Reliability is the probability that a system or one of its components will perform its intended function mider certain conditions for a specified period. Tlie reliability of a system and its probability of failure are complementary in tlie sense tliat the sum of these two probabilities is unity. This cluipler considers basic concepts and llieorenis of probability tliat find application in tlie estimation of risk and reliability. [Pg.541]

FIGURE 15.40 The polymerization of Hb S via the interactions between the hydrophobic Val side chains at position /36 and the hydrophobic pockets in the EF corners of /3-chains in neighboring Hb molecnles. The protruding block on Oxy S represents the Val hydrophobic protrusion. The complementary hydrophobic pocket in the EF corner of the /S-chains is represented by a sqnare-shaped indentation. (This indentation is probably present in Hb A also.) Only the /S9 Val protrusions and the /Si EF pockets are shown. (The /Si Val protrusions and the /S9 EF pockets are not involved, although they are present.)... [Pg.492]


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See also in sourсe #XX -- [ Pg.139 , Pg.140 , Pg.326 , Pg.334 , Pg.350 ]




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