Parametric analysis

Software Available for Population Analysis Parametric Maximum Likelihood Method Packages... 

Gal Greenberg/ ADVANCES IN SENSITIVITY ANALYSIS PARAMETRIC PROGRAMMING Prabhu/ FOUNDATIONS OF QUEUEING THEORY... 

TMi 2 Criticality Analysis—Parametric Studies and Overall Results, R. M. Westfall, J. T. West.G. E. Whitesides. J. T. Thomas (UCC-ND)... 

Multiple linear regression is strictly a parametric supervised learning technique. A parametric technique is one which assumes that the variables conform to some distribution (often the Gaussian distribution) the properties of the distribution are assumed in the underlying statistical method. A non-parametric technique does not rely upon the assumption of any particular distribution. A supervised learning method is one which uses information about the dependent variable to derive the model. An unsupervised learning method does not. Thus cluster analysis, principal components analysis and factor analysis are all examples of unsupervised learning techniques. 

NAA is a quantitative method. Quantification can be performed by comparison to standards or by computation from basic principles (parametric analysis). A certified reference material specifically for trace impurities in silicon is not currently available. Since neutron and y rays are penetrating radiations (free from absorption problems, such as those found in X-ray fluorescence), matrix matching between the sample and the comparator standard is not critical. Biological trace impurities standards (e.g., the National Institute of Standards and Technology Standard Rference Material, SRM 1572 Citrus Leaves) can be used as reference materials. For the parametric analysis many instrumental fiictors, such as the neutron flux density and the efficiency of the detector, must be well known. The activation equation can be used to determine concentrations ... 

It was shown in Ref. [5] that the arguments given above for the closed EGT cycles also hold good for open EGT cycles, but this analysis is not repeated here. Some simple parametric calculations were given to illustrate the increased thermal efficiency of practical open EGT cycles, corresponding to Fig. 6.8a-c. It was assumed that water injection was... 

Cerri, G. (1987), Parametric analysis of combined cycles, ASME i. Engng Gas Turbines Power 109(1), 46-55. 

The first and second spectra of plutonium are probably the most thoroughly studied of any in the periodic table insofar as experimental description of the observed spectra and the term analysis is concerned, but a detailed quantum mechanical treatment has been handicapped by their great complexity. Fortunately, the lowest odd and lowest even configurations for both Pu I and Pu II are relatively simple, and parametric studies of the lowest levels of the 5f67s2, 5f56d7s2 and... 

The COMPACT (computer-optimized molecular parametric analysis of chemical toxicity) procedure, developed by Lewis and co-workers [92], uses a form of discriminant analysis based on two descriptors, namely, molecular planarity and electronic activation energy (the difference between the energies of the highest occupied and lowest unoccupied molecular orbitals), which predict the potential of a compound to act as a substrate for one of the cytochromes P450. Lewis et al. [93] found 64% correct predictions for 100 compounds tested by the NTP for mutagenicity. 

Parke DV, loannides C, Lewis DFV. The safety evaluation of drugs and chemicals by the use of computer-optimised molecular parametric analysis of chemical toxicity (COMPACT). ATLA 1990 18 91-102. 

Parametric Analysis on Dual-Brick Converter Performance... 

All conventional approaches (mathematical and stochastic programming, parametric and nonparametric regression analysis) adopt as a common solution format real vectors, x and as performance criterion,... 

We also make a distinction between parametric and non-parametric techniques. In the parametric techniques such as linear discriminant analysis, UNEQ and SIMCA, statistical parameters of the distribution of the objects are used in the derivation of the decision function (almost always a multivariate normal distribution... 

---