In this case, the researcher can use a Principal Component Analysis (PCA). This analysis is a dimensionality-reduction method which is commonly used to reduce the dimensionality of large data sets. This method transforms a large set of variables( for example length of different parts of the dog skeleton) into a smaller set of variables which still contains most of the information in the large set. Reducing the number of variables could affect the accuracy of the data but smaller data sets are easier to analyze, explore and visualize, making the analysis easier and faster.
A researcher wants to develop a way of using morphometric measurements farm dogs to accurately estimate...
A researcher wants to develop a way of using morphometric measurements farm dogs to accurately estimate their fat free mass (FFM) to skeletal size. Considering that it is straight forward to measure a dog's head, length etc, but very expensive to gather data on a dog's FFM, what multivariate method would be suitable? A researcher wants to develop a way of using morphometric measurements farm dogs to accurately estimate their fat free mass (FFM) to skeletal size. Considering that it...
10. Write a one-page summary of the attached paper? INTRODUCTION Many problems can develop in activated sludge operation that adversely affect effluent quality with origins in the engineering, hydraulic and microbiological components of the process. The real "heart" of the activated sludge system is the development and maintenance of a mixed microbial culture (activated sludge) that treats wastewater and which can be managed. One definition of a wastewater treatment plant operator is a "bug farmer", one who controls the aeration...