The most popular programming language for implementing numerical analysis methods is Fortran, a language developed in the 1950s that continues to be updated to meet changing needs.
An introduction to the complex structure analysis methods is also made.
The impact of the tubes on confinement and analysis methods is also discussed.
Understanding the characteristics and appropriate use of different analysis methods is critical to conducting a well-designed DCE study.
The relationship between the ISSI technique and other commonly used common cause failure analysis methods is also described.
Due to the complexity of the brain and the sheer number of neurons interacting in any given moment, using existing simple statistical analysis methods is likely to shed limited new light on the workings of the brain and nervous system.
Even though a variety of analysis methods is available for in vitro studies, investigating the process of bone reconstruction on implanted scaffold meets with difficulties.
Three examples with different features in terms of responses variance are used and the performance of various analysis methods is compared.
The fiber model which is one kind of frame analysis methods is sometimes used as an effective tool for the nonlinear dynamic response analysis.
A coherent set of experiment design and analysis methods is presented which was applied for studying gender differences in visual inspection decision making.
The applicability of the proposed analysis methods is demonstrated by considering two synthetic test examples and one field test data set.
