Collection of Statistics

A molecular dynamics (MD) calculation collects statistical information as it progresses. So, for example, if the calculated position vector of atom A at times ti,t2, -, tn is rA(f2), .., t-A(tn), then the statistical-mechanical average is 

The three phases of the run can be seen clearly the heating step corresponds to the sharp rise on the left-hand side, the data collection step corresponds to the flat part of the curve, and the cooling step is seen as the final part of the curve. 

A molecular dynamics (MD) calculation collects statistical information as it progresses. So, for example, if the calculated position vector of atom A at 

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Official documents—such as the census or other collections of statistics... 

Multivariate analysis (MVA) is the collection of statistical techniques which we use to relate product performance (taste panel, processing conditions) data to product composition data (e.g., ppm of extracted volatiles as measured by GC). 

In statistics, ANalysis Of VAriance (ANOVA) is a collection of statistical models and their associated procedures in which the observed variance is partitioned into components because of different explanatory variables. The initial techniques of the analysis of variance were developed by the statistician and geneticist R.A. Fisher in the 1920s and 1930s, and are sometimes known as Fisher s ANOVA or Fisher s analysis of variance due to the use of Fisher s F-distribution as part of the test of statistical significance. 

Analysis of Variance (ANOVA) A collection of statistical procedures for analysis of responses from experiments. Single-factor ANOVA allows comparison of more than two means of populations. 

The term "statistical analysis" has two meanings. Statistical analysis, used in a general sense, can be regarded as a global description or plan of how data collected will be analyzed. The term "a statistical analysis" refers to an individual analytical technique that is used to describe and analyze numerical information. This book teaches you how to conduct a collection of statistical analyses that are appropriate for use in analyzing the results of clinical trials. 

Although named the American Bureau of Metal Statistics, this association, located in New York, is limited to producers of nonferrous metals, and its main function is the collection of statistical information on nonferrous metals. Production, consumption, price, and foreign-trade data are assembled monthly and annually. 

Does not collect data, but maintains a collection of statistical publications, a bibliographic program and reference service, and a directory of Latin American and international statistical agencies and statisticians. Office of the Coordinator of International Statistics, Bureau of the Census, Washington 25, D. C. ... 

Maintains a collection of statistical publications of all countries, and a reference service in international... 

Qualitative tests are initially used to establish the general phototactic nature of a particular strain of D. discoideum. The number of amoebae used in these experiments is not calculated, yet a small amount must be used in order to avoid the effects of high cell density, which is known to impair phototaxis (7). For a more detailed analysis and collection of statistical data, a quantitative test should be performed. 

In a collection of statistically distributed, mobile dipolar species, the total field-parallel contribution to the polarization is the statistical average over the cos 5 projections on the field vector. For the sake of transparentness we shall confine the further analysis to uniaxial anisotropic particles Bj, i.e., to uniaxial dipole moments m. In this case Eqs. (3.12) and (3.16) read, respectively,... 

RSM is a collection of statistical techniques for building models, designing experiments, evaluating the effects of factors and searching for optimum conditions for the targeted factors to enable desirable responses [23]. In RSM, fewer experimental runs are involved and... 

The idea of RSM began in the early 1930s but was finally well established in 1951 by the work of Box and Wilson [38], RSM is defined as a collection of statistical design and numerical optimization techniques for empirical model building and model exploitation used to optimize processes and product design [39,40], For example, a chemical engineer wishes to find the levels of temperature (xi) and pressure (X2) that maximize the yield (T) of a process. The process yield is a function of the levels of temperature and pressure ... 

The OSH act among other things also sets up NIOSH, mentioned earlier, which develops and establishes OSH standards and carries out research. The act also provides for training grants and collection of statistics. 

ANOVA is a statistical method for segregating the sources of variability affecting a set of observations to determine if certain factors associated with each variable contributed to the variance. ANOVA is a collection of statistical models, and their associated procedures, in which the observed variance is partitioned into components due to different explanatory variables. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes to more than two groups. ANOVA typically provides a measure of the variance due to each of the sources of variation. 

The terms statistical process control SPC) and statistical quality control (SQC) refer to a collection of statistically-based techniques that rely on quality control charts to monitor product quality. These terms tend to be used on an interchangeable basis. However, the term SPC is sometimes used to refer to a broader set of statistical techniques that are employed to improve process performance as well as product quality (MacGregor, 1988). In this chapter, we emphasize the classical SPC techniques that are based on quality control charts (also called control charts). The simplest control chart, a Shewhart chart, merely consists of measurements plotted vs. sample number, and control limits that indicate the upper and lower limits for normal process operation. 

It is seen that, as with FEP, the pathway between the physical endpoints is broken up into a series of X state intermediates. Although TI is not technically a windowing approach, collection of statistics at each A, value is typically termed a window , by analogy with FEP. TI follows the same procedural protocol as FEP select X and V(A), equilibrate, collect ensemble data, update X, and repeat. 

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