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Sampling intervals

High tern perature sim ulation s requ ire special con sideratiori ir choosing the sampling interval (see Step size" on page 89),... [Pg.78]

If the sampling interval is too short, the total number of structures that belong to iinic iie structural families is small compared to the total number available. If the sampling interval is too large, the total number of available structures is small, and you can m iss iinic ue conformations. [Pg.80]

Yon must consider these factors when decidingon sampling interval. There is no ideal interval for all iTiolecii les however, intervals ofO.5 1.0 ps are often used. [Pg.80]

One of the most important considerations in using molecular dynamics for a conformational search is determining the sampling interval. HyperChem lets you sample the simulation in two ways ... [Pg.80]

The HPLC elution time was typieally under 260 min, and the CZE analysis took plaee in 60 s, whieh led to an overall run time of about 4 h. The 1 min CZE sampling interval was problematie, as the LC eolumn was probably slightly undersampled. A shorter CZE analysis time, whieh would provide a more frequent sampling rate, would improve this system a great deal. The seeond-dimension analysis time must be short relative to the first dimension, lest resolution in the first dimension be saeri-fieed. [Pg.204]

Storage under stress conditions according to ICH Guidelines,i.e. 25°C/60% RH, 30765% RH, or 40°C/75% RH (Conditions I, II, resp. Ill temperature controlled to within 2°C, relative humidity to within 5%), with sampling intervals of 2 weeks or 1 month. [Pg.245]

Equation (6a) implies that the scale (dilation) parameter, m, is required to vary from - ac to + =. In practice, though, a process variable is measured at a finite resolution (sampling time), and only a finite number of distinct scales are of interest for the solution of engineering problems. Let m = 0 signify the finest temporal scale (i.e., the sampling interval at which a variable is measured) and m = Lbe coarsest desired scale. To capture the information contained at scales m > L, we define a scaling function, (r), whose Fourier transform is related to that of the wavelet, tf/(t), by... [Pg.233]

Having completed the decomposition and reconstruction of a function at a finite number of discrete values of scale, let us turn our attention to the discretization of the translation parameter, u, dictated by the discrete-time character of all measured process variables. The classical approach, suggested by Meyer (1985-1986), is to discretize time over dyadic intervals, using the sampling interval, t, as the base. Thus, the translation parameter, u, can be expressed as... [Pg.234]

FIGURE 4.3 Recent changes in concentrations of total mercury in axial muscle of walleyes from 13 boreal lakes in northwestern Ontario and Manitoba, Canada. Standardized concentrations for 50-cm walleye sampled during 1996-2000 are plotted against standardized concentrations for fish sampled during 1977-1983 (data are for reference lakes reported in Johnston et al. 2003). Each point below the diagonal line, which has a slope of 1.0, represents a lake where the standardized concentration declined between the 2 sampling intervals. [Pg.105]

Proper sample collection and handling are the key to acceptable agrochemical recovery at zero time. The zero-time sample interval is defined as the first sample collected after application. Zero-time soil samples should be collected within 3h after application. Zero-time soil core concentrations, such as those given in Table 3,... [Pg.867]

Localized, or field-scale, studies generally assess pesticides drifting off-target during application or from post-application volatilization over short sampling intervals. The... [Pg.924]

The regulations require three samples from the treated plot (one from each subplot) and a single sample from the control plot at each sampling interval. For foliage the preferred technique is to collect leaf punch samples. Leaf punch samplers are available in 5-, 2.5- and 1.25-cm punch areas. Common practice requires a sample of 40-5-cm leaf disks to provide a 400-cm sample using both the top and bottom of the leaf disk to calculate sample surface area. [Pg.966]

The recommended sampling interval for most pesticides is 35 days after the final application or decline of test substance through two half-life degradations. For most pesticides, significant degradation takes place in the first week and the 35-day sampling... [Pg.966]

Reliable chronologies should be based on multiple °Th age determinations at a sampling interval that is appropriate for the spatial resolution of geochemical analysis along the axis of growth and accounts for the possibility of non-linear or discontinuous growth. [Pg.449]

If we have data collected at a constant sampling interval, any autocorrelation in the residuals can be readily detected by plotting the residual autocorrelation function versus lag number. The latter is defined as,... [Pg.156]

Selection of Optimal Sampling Interval and Initial State for Precise Parameter Estimation... [Pg.196]

Equations 13.14 to 13.16 constitute the well known recursive least squares (RLS) algorithm. It is the simplest and most widely used recursive estimation method. It should be noted that it is computationally very efficient as it does not require a matrix inversion at each sampling interval. Several researchers have introduced a variable forgetting factor to allow a more precise estimation of 0 when the process is not "sensed" to change. [Pg.221]

C(z l) which are used for the computation of the transformed variables yn and un )c at the next sampling interval. [Pg.225]


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Confidence Intervals for a Sample Mean

Confidence Intervals sample characteristics

Confidence intervals sample size

Interval of sampling

Interval, dynamics sampling

Measurement sampling intervals, long

Sample proportions confidence intervals

Sampling confidence interval

Sampling error interval data

Selection of Optimal Sampling Interval and Initial State for Precise Parameter Estimation

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