T. M. Magrupov, B. M. Mirshaxodjayev

8. METHODS OF CORRELATION, REGRESSION AND
VARIANCE ANALYSIS OF THE EXPERIMENTAL 
RESULTS
8.1. Properties of statistical processing o f the simulation results 
system...........................................................................................
87
8.2. Regression analysis............................................................. 
90
8.3. Experiment planning method 2k..........................................
91
168

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Exercise. Test questions............................................................. 
94
9. MATHEMATICAL PROGRAMMING PROBLEMS 
AND METHODS OF DECISION
9.1. Methods o f mathematical programming. General view of 
mathematical programming problem s........................................
95
9.2. General view of a linear programming problem. Examples
of the linear programming problem ............................................
96
Exercise. Test questions..............................................................
104
10. LINEAR PROGRAMMING PROBLEM, AND THEIR 
METHODS OF SOLUTION
10.1. Jordan transfer method in linear programming problem ... 
105
10.2. Simplex m ethod.................................................................
106
10.3. Transportation problem o f linear programming...............
109
10.4. Dynamic programming methods. Examples o f multi-step 
operations. General view o f the problem of dynamic
programming. Properties optimality.........................................
113
Exercise. Test questions 
123
11. ANALYSIS OF SAMPLES WITH A STATISTICAL 
REGULARITIES UNCERTAINTY
11.1. Sample with a statistical uncertainty. Statistical decision 
problem. General line statistical decisions.................................
125
11.2. Safety Regulations Statistics.............................................
132
Exercise. Test questions..............................................................
133