Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Random distribution

In the maximum-likelihood method used here, the "true" value of each measured variable is also found in the course of parameter estimation. The differences between these "true" values and the corresponding experimentally measured values are the residuals (also called deviations). When there are many data points, the residuals can be analyzed by standard statistical methods (Draper and Smith, 1966). If, however, there are only a few data points, examination of the residuals for trends, when plotted versus other system variables, may provide valuable information. Often these plots can indicate at a glance excessive experimental error, systematic error, or "lack of fit." Data points which are obviously bad can also be readily detected. If the model is suitable and if there are no systematic errors, such a plot shows the residuals randomly distributed with zero means. This behavior is shown in Figure 3 for the ethyl-acetate-n-propanol data of Murti and Van Winkle (1958), fitted with the van Laar equation. [Pg.105]

The points are within the stated standard deviation and are randomly distributed about the zero axis. [Pg.106]

Figure A2.5.18. Body-centred cubic arrangement of (3-brass (CiiZn) at low temperature showing two interpenetrating simple cubic superlattices, one all Cu, the other all Zn, and a single lattice of randomly distributed atoms at high temperature. Reproduced from Hildebrand J H and Scott R L 1950 The Solubility of Nonelectrolytes 3rd edn (New York Reinliold) p 342. Figure A2.5.18. Body-centred cubic arrangement of (3-brass (CiiZn) at low temperature showing two interpenetrating simple cubic superlattices, one all Cu, the other all Zn, and a single lattice of randomly distributed atoms at high temperature. Reproduced from Hildebrand J H and Scott R L 1950 The Solubility of Nonelectrolytes 3rd edn (New York Reinliold) p 342.
Figure Bl.5.8 Random distribution of (a) non-chiral adsorbates that gives rise to a surfaee having effeetive oo m-synnnetry (b) ehiral moleeules that gives rise to effeetive oo-synnnetry. (e) SH intensity versus the angle of an analyser for a raeemie (squares) and a non-raeemie (open eireles) monolayer of ehiral moleeules. The pump beam was p-polarized the SH polarization angles of 0° and 90° eorrespond to s- and p-polarization, respeetively. (From [70].)... Figure Bl.5.8 Random distribution of (a) non-chiral adsorbates that gives rise to a surfaee having effeetive oo m-synnnetry (b) ehiral moleeules that gives rise to effeetive oo-synnnetry. (e) SH intensity versus the angle of an analyser for a raeemie (squares) and a non-raeemie (open eireles) monolayer of ehiral moleeules. The pump beam was p-polarized the SH polarization angles of 0° and 90° eorrespond to s- and p-polarization, respeetively. (From [70].)...
Figure C2.3.9. Product distribution of dissymmetrical ketone photolysis as influenced by cefyltrimethylammonium chloride (CTAC) micelles. The initial ketone, A(CO)B is photolysed to lose the carbonyl group and to produce tliree products, AA, AB and BB. These data are for benzyl (A) 4-methylbenzyl (B) ketone. Product AA is 1,2-diphenylethane, product BB is 1,2-ditolylethane and product AB is l-phenyl-2-tolyl-ethane. At low CTAC concentration, in the absence of micelles, a random distribution of products is obtained. In the presence of micelles, however, the AB product is heavily favoured. Adapted with pennission from 1571. Figure C2.3.9. Product distribution of dissymmetrical ketone photolysis as influenced by cefyltrimethylammonium chloride (CTAC) micelles. The initial ketone, A(CO)B is photolysed to lose the carbonyl group and to produce tliree products, AA, AB and BB. These data are for benzyl (A) 4-methylbenzyl (B) ketone. Product AA is 1,2-diphenylethane, product BB is 1,2-ditolylethane and product AB is l-phenyl-2-tolyl-ethane. At low CTAC concentration, in the absence of micelles, a random distribution of products is obtained. In the presence of micelles, however, the AB product is heavily favoured. Adapted with pennission from 1571.
Hqii ilibraliori corrects the velocities of atom s. Velocities rcsii Itin g from heating dt) not simulate the type of motion found in a real molecular system. Instead, these velticities depend on a random distribution of values corresponding to a given temperature and on the forces in a partially minimized structure. [Pg.74]

Fig. 8.3 Two random distributions obtained by plotting pairs of values from a linear congruential random genera The distribution (a) was obtained using m—32 769, a = 10924, b = 11830. The distribution (bj was obtained usi, m = 6075, a = 106, b = 1283. Data from [Sharp and Bays 1992]. Fig. 8.3 Two random distributions obtained by plotting pairs of values from a linear congruential random genera The distribution (a) was obtained using m—32 769, a = 10924, b = 11830. The distribution (bj was obtained usi, m = 6075, a = 106, b = 1283. Data from [Sharp and Bays 1992].
The Maxwell-Boltzmann velocity distribution function resembles the Gaussian distribution function because molecular and atomic velocities are randomly distributed about their mean. For a hypothetical particle constrained to move on the A -axis, or for the A -component of velocities of a real collection of particles moving freely in 3-space, the peak in the velocity distribution is at the mean, Vj. = 0. This leads to an apparent contradiction. As we know from the kinetic theor y of gases, at T > 0 all molecules are in motion. How can all particles be moving when the most probable velocity is = 0 ... [Pg.19]

The assumption that the deviations are randomly distributed about analytical form. [Pg.59]

We have already found that the probability function governing observation of a single event x from among a continuous random distribution of possible events x having a population mean p and a population standard deviation a is... [Pg.60]

As a starting point, let s assume that our target population consists of two types of particles. Particles of type A contain analyte at a fixed concentration, and type B particles contain no analyte. If the two types of particles are randomly distributed, then a sample drawn from the population will follow the binomial distribution. If we collect a sample containing n particles, the expected number of particles containing analyte, ti, is... [Pg.187]

When a system is in statistical control, the data points should be randomly distributed about the center line. The presence of an unlikely pattern in the data is another indication that a system is no longer in statistical control. > Thus,... [Pg.719]

Initializing the initial kinetic energy and temperature of the system it is necessary to start the motion at some level, eg, assume a Boltzmann (random) distribution of atomic velocities, at 300 K. [Pg.166]

Chain-Growth Associative Thickeners. Preparation of hydrophobically modified, water-soluble polymer in aqueous media by a chain-growth mechanism presents a unique challenge in that the hydrophobically modified monomers are surface active and form micelles (50). Although the initiation and propagation occurs primarily in the aqueous phase, when the propagating radical enters the micelle the hydrophobically modified monomers then polymerize in blocks. In addition, the hydrophobically modified monomer possesses a different reactivity ratio (42) than the unmodified monomer, and the composition of the polymer chain therefore varies considerably with conversion (57). The most extensively studied monomer of this class has been acrylamide, but there have been others such as the modification of PVAlc. Pyridine (58) was one of the first chain-growth polymers to be hydrophobically modified. This modification is a post-polymerization alkylation reaction and produces a random distribution of hydrophobic units. [Pg.320]

Chemical Structure and Properties. Homopolymer consists exclusively of repeating oxymethylene units. The copolymer contains alkyhdene units (eg, ethyUdene —CH2—CH2—) randomly distributed along the chain. A variety of end groups may be present in the polymers. Both homopolymer and copolymer may have alkoxy, especially methoxy (CH3 O—), or formate (HCOO—) end groups. Copolymer made with ethylene oxide has 2-hydroxyethoxy end groups. Homopolymer generally has acetate end groups. [Pg.57]

Peifluoioalkoxy (PFA) fluoiocaibon lesins aie designed to meet industry s needs in chemical, electrical, and mechanical appHcations. These melt processible copolymers contain a fluorocarbon backbone in the main chain and randomly distributed perfluorinated ether side chains ... [Pg.373]

Iron(II) fluoride tetrahydrate [13940-89-17, Fep2 4H2O, is prepared by dissolving iron metal ia warm hydrofluoric acid and precipitating with ethanol. The stmcture of the soHd consists of discrete [FeF2(H20)4] octahedra ia which F and H2O are randomly distributed over the possible sites. The white sohd turns brown ia air and decomposes at 100°C. It is slightly soluble ia water, alcohol, and ether and is soluble ia dilute acid. [Pg.436]

The presence of the L-form of mannose is unusual. The side-chain substitution is randomly distributed (242) approximately two-thirds of the side chains ate rhamnose. The repeat unit may also contain an 0-acyl group, but the distribution of these units has not been completely determined. The polymer is moderately soluble in water but is insoluble in isopropanol solutions, which are used to obtain the polymer from the culture medium. A method for producing a rapidly hydrating form of welan is avaUable (243). [Pg.299]

Such copolymers of oxygen have been prepared from styrene, a-methylstyrene, indene, ketenes, butadiene, isoprene, l,l-diphen5iethylene, methyl methacrjiate, methyl acrylate, acrylonitrile, and vinyl chloride (44,66,109). 1,3-Dienes, such as butadiene, yield randomly distributed 1,2- and 1,4-copolymers. Oxygen pressure and olefin stmcture are important factors in these reactions for example, other products, eg, carbonyl compounds, epoxides, etc, can form at low oxygen pressures. Polymers possessing dialkyl peroxide moieties in the polymer backbone have also been prepared by base-catalyzed condensations of di(hydroxy-/ f2 -alkyl) peroxides with dibasic acid chlorides or bis(chloroformates) (110). [Pg.110]


See other pages where Random distribution is mentioned: [Pg.660]    [Pg.533]    [Pg.1031]    [Pg.1080]    [Pg.1421]    [Pg.1469]    [Pg.2644]    [Pg.2644]    [Pg.2709]    [Pg.2880]    [Pg.434]    [Pg.546]    [Pg.124]    [Pg.190]    [Pg.181]    [Pg.140]    [Pg.446]    [Pg.95]    [Pg.335]    [Pg.30]    [Pg.31]    [Pg.437]    [Pg.191]    [Pg.204]    [Pg.61]    [Pg.402]    [Pg.497]    [Pg.192]    [Pg.459]   
See also in sourсe #XX -- [ Pg.39 , Pg.152 ]

See also in sourсe #XX -- [ Pg.109 ]




SEARCH



Adsorption isotherms random distribution

Bernoulli distribution, discrete probability distributions, random variables

Bristles, middle-length, randomly distributed

Conformational distributions random variables

Continuous distributions (random variables

Continuous distributions (random variables normal distribution

Continuous distributions (random variables uniform distribution

Continuous random variables normal distribution

Discrete probability distributions (random

Discrete probability distributions (random Bernoulli distribution

Discrete probability distributions (random Poisson distribution

Discrete probability distributions (random binomial distribution

Discrete probability distributions (random uniform distribution

Discrete random variables probability distributions

Displacements Against Randomly Distributed Forces

Distribution function of random variable

Distribution of random errors

Distribution of random numbers

Distribution of the Random Effects

Distributions of Random Variables

Distributions, selection random-effects analysis

Distributions, selection random-effects models

Distributive mixing random

Gaussian distribution simple random walks

Gaussian distributions random errors

Jointly distributed random variables

Linear polyethylene randomly distributed ethyl branche

Molecules, coupling random distribution

Multivariate models, random variables distributions

Network with Random Distribution of Strand Lengths

Polyaromatic Molecules Distributed at Random

Polyethylene phase structure, randomly distributed

Probability distribution random processes

Quasi-random-walk distribution

Random Gaussian distribution

Random Poisson distribution

Random distribution of fibres

Random distribution, Flory

Random distribution, Flory model

Random distribution, glycerides

Random field distribution function

Random frequency distribution

Random impurity distribution

Random isotopic distribution

Random non-pair distribution

Random number distribution

Random point distribution

Random variable, distribution function

Random variables and probability distributions

Random variables distributions

Random vectors and multivariate distributions

Random walk binomial distribution

Random walks probability distribution

Randomly Distributed Radical Pairs Inside a Micelle

Randomly distributed

Randomly distributed

Randomly distributed arrays

Randomly distributed branching point

Randomly distributed catalysts

Randomly distributed chromophores

Randomly distributed fast diffusion phase

Systems with Randomly Distributed Branching Points

The Distribution of Frequently Used Random Variables

Theoretical Results for a Distribution of Dipoles. Random Orientations

Univariate models, random variables distributions

Velocities, random distribution

© 2024 chempedia.info