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Experimental design based

W. J. Diamond, Practica/ Experimenta/ Designs for Engineers and Scientists, 2nd ed.. Van Nostrand Reinhold, New York, 1989. "This book is for engineers and scientists with Httie or no statistical background who want to learn to design efficient experiments and to analyze data correctiy. .. The emphasis is on practical methods, rather than on statistical theory." The discussion is quite detailed in some areas, eg, experimental designs based on Hadamard matrices, and scanty in others. [Pg.524]

Gonzalez, A. G., TWo Level Factorial Experimental Designs Based on Multiple Linear Regression Models A Tutorial Digest Illustrated by Case Studies, Analytica Chimica Acta 360, 1998, 227-241. [Pg.412]

Melani F, Gratteri P, Adamo M, Bonaccini C. Field interaction and geometrical overlap (FIGO) a new simplex/experimental design-based computational procedure for superposing small ligand molecules. J Med Chem 2003 46 1359-71. [Pg.371]

Furthermore, there are two other aspects to the extrapolation problem one structural and one statistical. An illustrative example of these various cases can be found in a dataset of benzamides (S16.1). that one of the present authors (U.N.) published some time ago [44]. If one develops a PLS model based on the same descriptors and the same, experimental design-based, training set (compounds 1-16) augmented by compound 17 (Table 16.8) in order to prove the points raised above [the prediction limit (1.502) set to two times the overall RSD of the model (0.751) which roughly gives 95% confidence interval], one can observe the following with respect to predictions on the remaining test set compounds ... [Pg.401]

Simplex design an experimental design based on the minimum symmetrical geometric pattern possible. This pattern will have a dimension of one less than the number of variables. Hence, for 4 variables, the Simplex design is a tetrahedron, for 3 variables a triangle, for 2 variables a line, and for a single variable a point. [Pg.52]

Experimental design based on these conditions and experimental results obtained are given in Table 3. [Pg.467]

The difficulties indicated can be overcome if experimental designs based upon statistical principles are used to vary the settings of the experimental factors. [Pg.7]

Norinder, U. (1992). Experimental Design Based Quantitative Structure Toxicity Relationship of Some Local Anesthetics Using the Pis Method. J.Appl. Toxicol, 12,143-147. [Pg.624]

An experimental design based on one control and eight drug treatments is a suggested starting point and it should be noted that this does not include replicates. The number of flasks that can be set up in one experiment is limited by the time required to carry out step 4. [Pg.21]

Normder, U. (1992) Experimental design based quantitative structure toxicity relationship of some local anesthetics using the PLS method. J. Appl Toxicol, 12, 143-147. [Pg.1132]

CHEMOMETRICAL EXPERIMENTAL DESIGN-BASED OPTIMIZATION STUDIES IN CAPILLARY ELECTROPHORESIS APPLICATIONS... [Pg.75]

McCourt, J., Stroka, J., and Anklam, E., Experimental design-based development and single laboratory validation of a capillary zone electrophoresis method for the determination of the artificial sweetener sucralose in food matrices. Anal. Bioanal Chem., 382, 1269, 2005. [Pg.912]

Figure 4. Experimental design based on the new concept of self organization to obtain a hierarchic dot or stripe pattern composed of metal nanoparticles. Here polymer is used for constructing the super-layer structure with the wavelength X that is chosen by dewetting instability. The patterned polymer islands simultaneously provide the initial and boundary conditions of sub-layer, i.e., the conditions for self-assembly of nanoparticles. Figure 4. Experimental design based on the new concept of self organization to obtain a hierarchic dot or stripe pattern composed of metal nanoparticles. Here polymer is used for constructing the super-layer structure with the wavelength X that is chosen by dewetting instability. The patterned polymer islands simultaneously provide the initial and boundary conditions of sub-layer, i.e., the conditions for self-assembly of nanoparticles.
This section has quickly presented the various stages that can be required to obtain results from an experimental-design based analysis. Let us consider a didactic example with U = 5 factors and one output signal, i.e. the door opening speed. [Pg.2152]

The discussion presented in the previous sections assumes that a process model is available. However, optimization of process operation is also possible when process models are not available. In this case, one must rely on available experimental process data and/or empirical modeling approaches. For instance, the process performance can be mapped within the experimental region of interest with the help of experimental design techniques. Experiments are performed in accordance with the proposed experimental design and empirical cubic models (or other types of empirical models) are fitted to the obtained experimental data. Then, the empirical models can be used to provide the searched optima. This type of experimental design-based optimization procedure was performed to optimize the operation of fermentors used for production of bacterial polyesters (177], as it is very difficult to develop a fundamental model for bacterial polymerizations. In this particular case, the medium composition was manipulated to allow for maximization of polymer production and rninirnization of the batch time. [Pg.347]

This non-structural approach provides an effective complement to experimental design based on pK values. Solvation spheres and effects of pH on columns will inherently be taken into account, as is the ionization of unknown species. The key to this step is the small pH range extrapolation over a large range of pH values has little hope of being successful. [Pg.98]

U. Norinder, /. Camput.-Aided Mol. Design, 4, 381 (1990). Experimental Design Based 3-D QSAR Analysis of Steroid—Protein Interactions Application to Human CBG Complexes. [Pg.229]

An experimental design based on the orthogonal array of the Taguchi method was conducted to investigate the influence of the factors and their two-way interactions on tensile strength with or without weldline. [Pg.538]


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