ABSTRACT
In the previous chapter we discussed the estimation of unknown parameters in statistical models. In this chapter, we will present various statistical methods. Concretely speaking, we deal with interval estimations, testing problems and discriminant analyses. The inference in the previous chapter is the method for estimating an unknown parameter to be a certain value based on a sample (point estimation). In this chapter we discuss a method for seeking interval depending on a sample, in which the unknown parameter lies at a certain level of probability accuracy (interval estimation).
