Numerical Methods and Statistics

The first part of this course deals with selected issues in numerical computations
(including sources and types of numerical errors, conditionality of
certain problems and algorithms), with methods for solving algebraic and
transcendent equations, with solving systems of linear equations, with
interpolation and approximation of functions, with numerical computations
of integrals, and with Cauchy problems for ordinary differential
equations. The second part of this course is devoted to the processing of
a statistical data set with one argument (characteristics of a statistical data set,
processing of large statistical data sets, estimates of parameters of a data set).
and to testing of statistical hypotheses.