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Distribution infinite

Figure 3.2 Normal Distribution Curve Relative Frequencies of Deviations from the Mean for a Normally Distributed Infinite Population Deviations (x - p) are in Units of a. Figure 3.2 Normal Distribution Curve Relative Frequencies of Deviations from the Mean for a Normally Distributed Infinite Population Deviations (x - p) are in Units of a.
One way to look at this relationship is to note that/(x) can be a constant only if its oscillation frequencies are distributed infinitely sharply around zero. [Pg.557]

Let a(t) denote a time dependent random process. a(t) is a random process because at time t the value of a(t) is not definitely known but is given instead by a probability distribution fimction W (a, t) where a is the value a (t) can have at time t with probability detennmed by W (a, t). W a, t) is the first of an infinite collection of distribution fimctions describing the process a(t) [7, H]. The first two are defined by... [Pg.692]

The fluctuation dissipation theorem relates the dissipative part of the response fiinction (x") to the correlation of fluctuations (A, for any system in themial equilibrium. The left-hand side describes the dissipative behaviour of a many-body system all or part of the work done by the external forces is irreversibly distributed mto the infinitely many degrees of freedom of the themial system. The correlation fiinction on the right-hand side describes the maimer m which a fluctuation arising spontaneously in a system in themial equilibrium, even in the absence of external forces, may dissipate in time. In the classical limit, the fluctuation dissipation theorem becomes / /., w) = w). [Pg.719]

For certain values of q and a harmonic potential, the distribution pq (F) can have infinite variance and higher moments. This fact has motivated the use of the g-expectation value to compute the average of an observable A... [Pg.201]

The equilibrium distribution of the system can be determined by considering the result c applying the transition matrix an infinite number of times. This limiting dishibution c the Markov chain is given by pij jt = lim, o p(l)fc -... [Pg.431]

Choosing a standard GTO basis set means that the wave function is being described by a finite number of functions. This introduces an approximation into the calculation since an infinite number of GTO functions would be needed to describe the wave function exactly. Dilferences in results due to the quality of one basis set versus another are referred to as basis set effects. In order to avoid the problem of basis set effects, some high-accuracy work is done with numeric basis sets. These basis sets describe the electron distribution without using functions with a predefined shape. A typical example of such a basis set might... [Pg.80]

The normal distribution of measurements (or the normal law of error) is the fundamental starting point for analysis of data. When a large number of measurements are made, the individual measurements are not all identical and equal to the accepted value /x, which is the mean of an infinite population or universe of data, but are scattered about /x, owing to random error. If the magnitude of any single measurement is the abscissa and the relative frequencies (i.e., the probability) of occurrence of different-sized measurements are the ordinate, the smooth curve drawn through the points (Fig. 2.10) is the normal or Gaussian distribution curve (also the error curve or probability curve). The term error curve arises when one considers the distribution of errors (x — /x) about the true value. [Pg.193]

In the next several sections, the theoretical distributions and tests of significance will be examined beginning with Student s distribution or t test. If the data contained only random (or chance) errors, the cumulative estimates x and 5- would gradually approach the limits p and cr. The distribution of results would be normally distributed with mean p and standard deviation cr. Were the true mean of the infinite population known, it would also have some symmetrical type of distribution centered around p. However, it would be expected that the dispersion or spread of this dispersion about the mean would depend on the sample size. [Pg.197]

Once the composition of each equiHbrium phase is known, infinite dilution activity coefficients for a third component ia each phase can then be calculated. The octanol—water partition coefficient is directly proportional to the ratio of the infinite dilution activity coefficients for a third component distributed between the water-rich and octanol-rich phases (5,24). The primary drawback to the activity coefficient approach to estimation is the difficulty of the calculations involved, particularly when the activity coefficient model is complex. [Pg.238]

Nature In an experiment in which one samples from a relatively small group of items, each of which is classified in one of two categories, A or B, the hypergeometric distribution can be defined. One example is the probabihty of drawing two red and two black cards from a deck of cards. The hypergeometric distribution is the analog of the binomial distribution when successive trials are not independent, i.e., when the total group of items is not infinite. This happens when the drawn items are not replaced. [Pg.489]

A. Laminar, vertical wetted wall column Ws/, 3.41 — D 5fa (first term of infinite series) [T] Low rates M.T Use with log mean concentration difference. Parabolic velocity distribution in films. [Pg.607]

The (x, i )), values in Eq. (13-37) are minimum-reflux values, i.e., the overhead concentration that would be produced by the column operating at the minimum reflux with an infinite number of stages. When the light key and the heavy key are adjacent in relative volatihty and the specified spht between them is sharp or the relative volatilities of the other components are not close to those of the two keys, only the two keys will distribute at minimum reflux and the Xi D),n values are easily determined. This is often the case and is the only one considered here. Other cases in which some or all of the nonkey components distribute between distillate and bottom products are discussed in detail by Henley and Seader (op. cit.). [Pg.1274]

The ultimate distribution after an infinite number of passes is also shown in Fig. 22-6 and can be calculated for x < L — 1) From the following equation (Pfann, op. cit., p. 42) ... [Pg.1991]

Gram-Charlier Series This is an infinite series whose coefficients involve the Gaussian distribution and its derivatives (Kendall, Advanced Theory of Statistics, vol. 1, Griffin, 1958). The derivatives, in turn, are expressed in terms of the moments. The series truncated at the coefficient involving the fourth moment is... [Pg.2086]

Consequently, consider an infinite one-dimensional line or rod along which fractures occur randomly with an average frequency of Nq per unit length as illustrated in Fig. 8.19. Randomly distributed points on an infinite line obey Poisson statistics and the probability of finding n fractures in a length, /, is given by... [Pg.297]

The more common approach is the actual positioning of random lines on a surface to create a statistical distribution of fragment sizes. One example of this, suggested by Mott and Linfoot (1943), is a construction of randomly positioned and oriented infinite lines as illustrated in Fig. 8.23. If the random lines are restricted to horizontal or vertical orientation an analytic solution can be obtained for the cumulative fragment number (Mott and Linfoot,... [Pg.302]

This design has a strut-supported porous shell (Figure 9-19). The shell attached to the strut is of wire from porous material. Cooling air flows up the central plenum of the strut, which is hollow with various-size metered holes on the strut surface. The metered air then passes through the porous shell. The shell material is cooled by a combination of convection and film cooling. This process is effective due to the infinite number of pores on the blade surface. The temperature distribution is shown in Figure 9-20. [Pg.358]

In LC, at very low concentrations of moderator in the mobile phase, the solvent distributes itself between the two phases in much the same way as the solute. However, as the dilution is not infinite, the adsorption isotherm is not linear and takes the form of the Langmuir isotherm. [Pg.88]

A simple case of heat conduction is a plate of finite thickness but infinite in other directions. If the temperature is constant around the plate, the material is assumed to have a constant thermal conductivity. In this case the linear temperature distribution and the heat flow through the plate is easy to determine from Fourier s law (Eq. (4.154)). [Pg.112]

The analytical solution for an infinitely flanged slot can be obtained by assuming that the inlet is composed of elemental point sinks.The velocity field of an infinitely flanged slot can be obtained by assuming the velocity to be uniformly distributed across the opening. The contribution to the velocity potential at point (x, y) due to the elemental line sink of length and located at (0, Q is given by... [Pg.833]

The strain-energy-release rate was expressed in terms of stresses around a crack tip by Inwin. He considered a crack under a plane stress loading of a , a symmetric stress relative to the crack, and x°° a skew-symmetric stress relative to the crack in Figure 6-12. The stresses have a superscript" because they are applied an infinite distance from the crack. The stress distribution very near the crack can be shown by use of classical elasticity theory to be, for example. [Pg.341]


See other pages where Distribution infinite is mentioned: [Pg.64]    [Pg.14]    [Pg.64]    [Pg.14]    [Pg.408]    [Pg.1370]    [Pg.2267]    [Pg.7]    [Pg.42]    [Pg.202]    [Pg.322]    [Pg.324]    [Pg.499]    [Pg.64]    [Pg.1267]    [Pg.194]    [Pg.131]    [Pg.265]    [Pg.541]    [Pg.311]    [Pg.496]    [Pg.446]    [Pg.438]    [Pg.541]    [Pg.344]    [Pg.88]    [Pg.135]    [Pg.462]    [Pg.321]    [Pg.36]    [Pg.54]   
See also in sourсe #XX -- [ Pg.259 , Pg.267 ]

See also in sourсe #XX -- [ Pg.261 , Pg.271 ]




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