(1) First, this paper introduces the statistical inference for the exponential distribution with two parameters type - I censoring.

(2) In this paper, we study the nonparametric statistical inference for one distribution change point.

(3) The influence of observational error on statistical inference is discussed and the method to diminish the impact of stochastic error is given.

(4) The role of statistical inference is to estimate the best parameter values or constants in an assumed cost function.

(5) Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs.

(6) In this paper, we study the nonparametric statistical inference one distribution change point.

(7) The statistical inference includes ANOVA, Chi - square test, multiple regression, and logistic regression.

(8) In this paper, the test model of fuzzy hypothesis for the period analysis of the runoff process over a number of years and the method of a fuzzy statistical inference are presented.

(9) Statistics also divided into the main description of statistics and statistical inference.

(10) The results indicate that the straight comparison technique and the statistical inference technique are all effective method for model verification and validation.

(11) The second objective is to develop the first principles of statistical inference.

(12) Based on the condition, to adjust rank order with semiparametric method for statistical inference is more reasonable in two sample rank test.

(13) Under certain hypothesis a heuristic search can be considered as a random sampling process. Thus, it is possible to transfer the statistical inference method to the heuristic search.