Test coefficients

PATR 2700, Vol 1 (I960), pp VII-VIII (Ballistic Mortar Ballistic Pendulum Tests) IX-X (French test "Coefficient d Utiliza-tion Pratique, abbr CUP) IX (Mortar Test) ... 

Owing to the inherent variability of many factors in this test, coefficient of variation of test resnlts is about 10% within a laboratory. The differences between laboratories are expected to be greater owing to seed and dilution water variations. 

Ume] High temperature XRD, DSC, a flexural vibration method, microhardness tests Coefficient of thermal expansion, specific heat, microhardness. Young s modulus... 

General remarks including test coefficients (safety factors)... 

Table 4.3.1 Table of test coefficients for lifting equipment... 

Test Coefficient of Pearson s Linear Correlation Legend r—coefficient p-value—Significance Level n—Sample Number. 

Several test methods" " were developed to test coefficient of friction and properties of lubricated surfaces. Coefficient of friction of self-lubricated materials in rubbing contact is tested in a machine which utilizes a thrust washer specimen configuration. The test machine rotates a test specimen under load against a stationary steel washer for 40 hours. The thickness change and a torque are measured for each test. The coefficient of friction is calculated from the following relationship ... 

T = temperature result from the ASTM D 2887 test a, b,c = are conversion coefficients (refer to Table 4.7)... 

Some variables often have dependencies, such as reservoir porosity and permeability (a positive correlation) or the capital cost of a specific equipment item and its lifetime maintenance cost (a negative correlation). We can test the linear dependency of two variables (say x and y) by calculating the covariance between the two variables (o ) and the correlation coefficient (r) ... 

Based o the test data, the parameter a6 is correlating with the residual resistance (table 1). It is discovered that the less resistible samples have much higher value of a6. On the base of collected data it is possible to identify the critical value of the accumulation coefficient (which is a defective sign of the material (if aG> AiScR-the sample is defected if aG< a6cr - the sample is without defects). 

The third virial coefficient C(7) depends upon tliree-body interactions, both additive and non-additive. The relationship is well understood [106. 107. 111]. If the pair potential is known precisely, then C(7) ought to serve as a good probe of the non-additive, tliree-body interaction energy. The importance of the non-additive contribution has been confimied by C(7) measurements. Unfortunately, large experimental uncertainties in C (7) have precluded unequivocal tests of details of the non-additive, tliree-body interaction. 

The theory coimecting transport coefficients with the intemiolecular potential is much more complicated for polyatomic molecules because the internal states of the molecules must be accounted for. Both quantum mechanical and semi-classical theories have been developed. McCourt and his coworkers [113. 114] have brought these theories to computational fruition and transport properties now constitute a valuable test of proposed potential energy surfaces that... 

Quack M and Thdne H J 1987 Absolute and relative rate coefficients in the IR-laser chemistry of bichromophoric fluorobutanes tests for inter- and intra-molecular selectivity Chem. Rhys. Lett. 135 487-94... 

Multiple linear regression analysis is a widely used method, in this case assuming that a linear relationship exists between solubility and the 18 input variables. The multilinear regression analy.si.s was performed by the SPSS program [30]. The training set was used to build a model, and the test set was used for the prediction of solubility. The MLRA model provided, for the training set, a correlation coefficient r = 0.92 and a standard deviation of, s = 0,78, and for the test set, r = 0.94 and s = 0.68. 

Knudsen diffusion coefficient for the test gas in a micropore. represents the total void fraction and c that part of of the void fraction... 

Hence, from equation (10.48), the effective diffusion coefficient determined by "chromatographic" testing is given by... 

In order to parameterize a QSAR equation, a quantihed activity for a set of compounds must be known. These are called lead compounds, at least in the pharmaceutical industry. Typically, test results are available for only a small number of compounds. Because of this, it can be difficult to choose a number of descriptors that will give useful results without htting to anomalies in the test set. Three to hve lead compounds per descriptor in the QSAR equation are normally considered an adequate number. If two descriptors are nearly col-linear with one another, then one should be omitted even though it may have a large correlation coefficient. 

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