Experimental design and data analysis

The study of repetitive sequences utilizes many relatively routine techniques in molecular genetics that are described in a number of excellent manuals3445 and are not discussed here. Instead, we consider the aspects of experimental design and data analysis that are specific for the study of repeated DNA families. 

Joachim J, Kalantzis G, Joachim G, et al. Pregelatinized starches in wet granulation experimental design and data analysis. Part 2. Case of tablets. SEP Pharma Sci 1994 4(6) 482- 86. 

Fortunately, various chemometric-based techniques, including multivariate experimental design and data analysis techniques, have been devised to aid in optimizing the performance of systems and extend their separation capabilities. In broadest terms, chemometrics is a subdiscipline of analytical chemistry that uses mathematical, statistical, and formal logic to (10) ... 

Statistics does not perform miracles and in no way can substitute specialized technical knowledge. What we hope to demonstrate is that a professional who combines knowledge of statistical experimental design and data analysis with sohd technical and scientific training in his own area of interest will become more competent, and therefore even more competitive. 

We are chemists, not statisticians, and perhaps tbis differentiates our book from most others with similar content. Although we do not believe it is possible to learn the techniques of experimental design and data analysis without some knowledge of basic statistics, in this book we try to keep its discussion at the minimum necessary — and soon go on to what... 

Experimental Design and Data Analysis With such lengthy... 

H. Zhang, M.O. Balaban, J.C. Prindpe, K. Portier, Quantification of spice mixture compositions by electronic nose part I. Experimental design and data analysis using neural networks. J. Food Sd. E Eood Eng. Phys. Prop. 70, E253-258 (2005)... 

Because there are so many geometries of adhesive joints encountered, and so many types of stress applied (tension, shear, torsion, thermal, etc.), the analysis of a given system must be tailored to meet the specific application. The processes of experimental design and data analysis, therefore, become quite complicated. It should also be kept in mind that flaws such as those often implicated in adhesive failure can also lead to apparent cohesive failure in the bulk material. 

The Practice of Dynamic Combinatorial Libraries Analytical Chemistry, Experimental Design, and Data Analysis... 

The normal distribution has the familiar symmetrical beU shape as shown in Fig. 1 and is the basis for the most common statistical techniques of experimental design and data analysis. The characteristics of this distribution are described in the section on Terminology. Mass loss, mass gain, thickness loss, corrosion potential, corrosion rate, and pitting area may have a normal distribution. Although this may not be an established fact, in the past many researchers have assumed normal distributions for such data with apparent success. 

Corrosion researchers can gain a greater degree of confidence in their experimental results if they have a basic understanding and use statistical techniques of experimental design and data analysis. Statisticians cannot property design... 

Since methods of experimental design and data analysis contribute more general enterprise of science [12], I will do a series of experiments in Denmark, China and India to figure out such issues ... 

New multivariate tools for experimental design and data analysis. 

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