Title :
Semiparametric methods of hypothesis testing about average value on basis of decomposition in space of Kunchenko
Author :
Zabolotnyi, S.V. ; Salypa, S.V.
Author_Institution :
Cherkassy State Technol. Univ., Cherkassy, Ukraine
Abstract :
The new method of statistical hypothesis test about the mean value of random values, being based on the decomposition in space with a generative element (Kunchenko´s space) and use the property of the minimization of the variance of stochastic polynomials is offered. Gained analytical expressions allow optimizing deciding rules on a certain high-quality criterion and expecting the probabilities of errors during solution of problem. The comparing of the polynomial of deciding rules during to linear rule is conducted by a statistical design.
Keywords :
decision theory; error statistics; polynomials; random processes; statistical testing; stochastic processes; Kunchenko space decomposition; deciding rule polynomial; error probability; generative element; high-quality criterion; linear rule; semiparametric methods; statistical design; statistical hypothesis test method; stochastic polynomial variance minimization; Abstracts; Educational institutions; Electronic mail; Minimization; Polynomials; Probability; Testing;
Conference_Titel :
Microwave and Telecommunication Technology (CriMiCo), 2013 23rd International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-395-1