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Expectation values normalization

Note that the parameter 1/A (sometimes denoted as fi) is the expected value. Normally, the reciprocal of this value is specified and represents the expected value... [Pg.369]

If the function greater than or equal to the lowest energy Eg. Combining the latter two observations allows the energy expectation value of to be used to produce a very important inequality ... [Pg.57]

Understanding the distribution allows us to calculate the expected values of random variables that are normally and independently distributed. In least squares multiple regression, or in calibration work in general, there is a basic assumption that the error in the response variable is random and normally distributed, with a variance that follows a ) distribution. [Pg.202]

Statistical Criteria. Sensitivity analysis does not consider the probabiUty of various levels of uncertainty or the risk involved (28). In order to treat probabiUty, statistical measures are employed to characterize the probabiUty distributions. Because most distributions in profitabiUty analysis are not accurately known, the common assumption is that normal distributions are adequate. The distribution of a quantity then can be characterized by two parameters, the expected value and the variance. These usually have to be estimated from meager data. [Pg.451]

Status alarms. An expected or normal state is specified for the discrete value. A status alarm is generated when the discrete value is other than its expected or normal state. [Pg.769]

Data that is not evenly distributed is better represented by a skewed distribution such as the Lognormal or Weibull distribution. The empirically based Weibull distribution is frequently used to model engineering distributions because it is flexible (Rice, 1997). For example, the Weibull distribution can be used to replace the Normal distribution. Like the Lognormal, the 2-parameter Weibull distribution also has a zero threshold. But with increasing numbers of parameters, statistical models are more flexible as to the distributions that they may represent, and so the 3-parameter Weibull, which includes a minimum expected value, is very adaptable in modelling many types of data. A 3-parameter Lognormal is also available as discussed in Bury (1999). [Pg.139]

Note tliat as previously mentioned, increasing tlie number of simulated values increases tlie accuracy of the estimate. Also note tliat Monte Carlo simulation provides an attractive alternative to solving tlie somewhat complicated matliematical problem of finding tlie expected value of the minimuin of two normal random variables. [Pg.595]

The problem has now become how to solve for the set of molecular orbital expansion coefficients, c. . Hartree-Fock theory takes advantage of the variational principle, which says that for the ground state of any antisymmetric normalized function of the electronic coordinates, which we will denote H, then the expectation value for the energy corresponding to E will always be greater than the energy for the exact wave function ... [Pg.262]

One of the goals of Localized Molecular Orbitals (LMO) is to derive MOs which are approximately constant between structurally similar units in different molecules. A set of LMOs may be defined by optimizing the expectation value of an two-electron operator The expectation value depends on the n, parameters in eq. (9.19), i.e. this is again a function optimization problem (Chapter 14). In practice, however, the localization is normally done by performing a series of 2 x 2 orbital rotations, as described in Chapter 13. [Pg.227]

Factors such as dissociation, association, or solvation, which result in deviation from the Beer-Lambert law, can be expected to have a similar effect in fluorescence. Any material that causes the intensity of fluorescence to be less than the expected value given by equation (2) is known as a quencher, and the effect is termed quenching it is normally caused by the presence of foreign ions or molecules. Fluorescence is affected by the pH of the solution, by the nature of the solvent, the concentration of the reagent which is added in the determination of inorganic ions, and, in some cases, by temperature. The time taken to reach the maximum intensity of fluorescence varies considerably with the reaction. [Pg.733]

To obtain the expected values of the fluxes one must normalize the Wolf-Resnick distribution function. Normalization gives... [Pg.380]

Figure 1.20. Monte Carlo simulation of 25 normally distributed measurements raw data are depicted in panel A, the derived means Xmean CL(Xmean) in B, and the standard deviation % + CL( t) in C. Notice that the mean and/or the standard deviation can be statistically different from the expected values, for instance in the range 23 < n < 25 in this example. The ordinates are scaled in units of la. [Pg.43]

Purpose Illustrate what happens when a series of measurements is evaluated for mean and standard deviation each time a new determination becomes available the mean converges towards zero and the SD towards 1.0. The CL(Xmean) and the CL(i c) normally enclose the expected values E x) = /r = 0, respectively E Sx) = a =. Due to the stochastic nature of the measured signal, it can happen that confidence limits do not bracket the expected value this fact is highlighted by a bold line. [Pg.366]

The expectation value or mean value A) of the physical observable A at time t for a system in a normalized state is given by... [Pg.87]

Nevertheless, the situation is not completely hopeless. There is a recipe for systematically approaching the wave function of the ground state P0> i- c., the state which delivers the lowest energy E0. This is the variational principle, which holds a very prominent place in all quantum-chemical applications. We recall from standard quantum mechanics that the expectation value of a particular observable represented by the appropriate operator O using any, possibly complex, wave function Etrial that is normalized according to equation (1-10) is given by... [Pg.23]

In accord with the resonance structure drawn, there is little B=B bonding in this diborane(4) derivative and the B—B distance is found to be 1.859 A,68 which is considerably longer than even the normal expected value of 1.7 A for a boron-boron single bond.67 This is consistent with the normal repulsion of negative charges on adjacent atoms not stabilized by 7r-bonding. [Pg.374]

Here r and v are respectively the electron position and velocity, r = —(e2 /em)(r/r3) is the acceleration in the coulombic field of the positive ion and q = /3kBT/m. The mobility of the quasi-free electron is related to / and the relaxation time T by p = e/m/3 = et/m, so that fi = T l. In the spherically symmetrical situation, a density function n(vr, vt, t) may be defined such that n dr dvr dvt = W dr dv here, vr and vt and are respectively the radical and normal velocities. Expectation values of all dynamical variables are obtained from integration over n. Since the electron experiences only radical force (other than random interactions), it is reasonable to expect that its motion in the v space is basically a free Brownian motion only weakly coupled to r and vr by the centrifugal force. The correlations1, K(r, v,2) and fc(vr, v(2) are then neglected. Another condition, cr(r)2 (r)2, implying that the electron distribution is not too much delocalized on r, is verified a posteriori. Following Chandrasekhar (1943), the density function may now be written as an uncoupled product, n = gh, where... [Pg.275]

In the preceding F = fc(r, r), H = tc(r, vt)G = k(vt, v) and the normalization constant C is fixed by equating the volume integral of n to unity. For further tractability, Sano and Mozumder expand (r v) in a Taylor s series and retain the first two terms only. The validity of this procedure can be established a posteriori in a given situation. At first, the authors obtain equations for the time derivatives of the expectation values and the correlations of dynamical variables. Then, for convenience of closure and computer calculation, these are transformed into a set of six equations, which are solved numerically. The first of these computes lapse time through the relation... [Pg.276]

It can be shown that when the normalization condition for the photon wave function (50) is satisfied, the vector p can be interpreted as the expectation value of the photon momentum. To do this it is necessary to express p in terms of fk. Substitution of (37) into (51) yields... [Pg.251]

Comment the normally expected value of AS° for a unimolecular reaction, based on A 1013 to 1014, is 0 (Table 6.1) the result here is greater than this.)... [Pg.143]


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See also in sourсe #XX -- [ Pg.697 ]




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