Mathematics Introduction to statistical models and data-analysis through examples in Excel and R / Hiroshi Fujikawa

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Mathematics
This paper gives an easy-to-understand example of a method to analyze data obtained from experiments, surveys, inspections, etc. using a statistical model. This book explains from the basics how to apply a statistical distribution, that is, a statistical model, suitable for the target data and analyze it. In this case, since the "least squares method" cannot be used, the "maximum likelihood method" is used. By using a statistical model suitable for the data, more accurate prediction and judgment can be made (this analysis process is called statistical modeling). Furthermore, this analysis method leads to Bayes statistics.