. "RIV/00216305:26110/09:PU80304!RIV10-MSM-26110___" . . "Star\u00FD, Milo\u0161" . "978-80-7204-629-4" . "4"^^ . "2009-04-20+02:00"^^ . . . "26110" . "Vliv nejistot \u010Dlen\u016F re\u00E1ln\u00E9 pr\u016Ftokov\u00E9 \u0159ady pr\u016Fm\u011Brn\u00FDch m\u011Bs\u00ED\u010Dn\u00EDch pr\u016Ftok\u016F p\u0159i generov\u00E1n\u00ED um\u011Bl\u00FDch pr\u016Ftokov\u00FDch \u0159ad"@cs . "RIV/00216305:26110/09:PU80304" . "By one of solve and operate reservoirs are information about values of influen water Qi to the reservoir that are described by real discharge series. Assessment links of real discharge series are loaded by series of random errors. The theory of measuring errors is based on uncertainty of measurement. Uncertainty of measurement can be followed on values interval arend measuring results of the average moon discharge. Using Monte - Carlo method we can generate random continuance real discharge series (random series). Out of random series we can generate random courses of artificial discharge series using LNAR(Q) model."@en . "349375" . . . . "Vliv nejistot \u010Dlen\u016F re\u00E1ln\u00E9 pr\u016Ftokov\u00E9 \u0159ady pr\u016Fm\u011Brn\u00FDch m\u011Bs\u00ED\u010Dn\u00EDch pr\u016Ftok\u016F p\u0159i generov\u00E1n\u00ED um\u011Bl\u00FDch pr\u016Ftokov\u00FDch \u0159ad" . "Brno" . "XII. Mezin\u00E1rodn\u00ED v\u011Bdeck\u00E1 konference, Sborn\u00EDk p\u0159\u00EDsp\u011Bvk\u016F" . . "Brno" . "Akademick\u00E9 nakladatelstv\u00ED CERM" . "2"^^ . . "2"^^ . . . . "Vliv nejistot \u010Dlen\u016F re\u00E1ln\u00E9 pr\u016Ftokov\u00E9 \u0159ady pr\u016Fm\u011Brn\u00FDch m\u011Bs\u00ED\u010Dn\u00EDch pr\u016Ftok\u016F p\u0159i generov\u00E1n\u00ED um\u011Bl\u00FDch pr\u016Ftokov\u00FDch \u0159ad"@cs . "[DFC4D01C421A]" . . "P(1M0579), P(GA103/07/1620)" . "Uncertainty impact for links of real discharge series moon average discharges for generating of artificial discharges series"@en . "Vliv nejistot \u010Dlen\u016F re\u00E1ln\u00E9 pr\u016Ftokov\u00E9 \u0159ady pr\u016Fm\u011Brn\u00FDch m\u011Bs\u00ED\u010Dn\u00EDch pr\u016Ftok\u016F p\u0159i generov\u00E1n\u00ED um\u011Bl\u00FDch pr\u016Ftokov\u00FDch \u0159ad" . . . "Jedn\u00EDm ze z\u00E1kladn\u00EDch podklad\u016F pro n\u00E1vrh a provoz n\u00E1dr\u017E\u00ED jsou informace o p\u0159\u00EDtoku vody do n\u00E1dr\u017Ee charakterizovan\u00E9ho re\u00E1lnou pr\u016Ftokovou \u0159adou. Stanoven\u00ED \u010Dlen\u016F re\u00E1ln\u00FDch pr\u016Ftokov\u00FDch \u0159ad, je zat\u00ED\u017Eeno \u0159adou chyb n\u00E1hodn\u00E9 povahy. Problematika teorie chyb vytvo\u0159ila z\u00E1klad pro zaveden\u00ED pojmu nejistot m\u011B\u0159en\u00ED. Nejistoty m\u011B\u0159en\u00ED m\u016F\u017Eeme ch\u00E1pat jako interval hodnot okolo v\u00FDsledku m\u011B\u0159en\u00ED pr\u016Fm\u011Brn\u00E9ho m\u011Bs\u00ED\u010Dn\u00EDho pr\u016Ftoku. Za pou\u017Eit\u00ED metod Monte - Carlo je mo\u017Eno generovat n\u00E1hodn\u00E9 pr\u016Fb\u011Bhy re\u00E1ln\u00E9 pr\u016Ftokov\u00E9 \u0159ady, tzv. n\u00E1hodn\u00E9 \u0159ady. Z n\u00E1hodn\u00FDch re\u00E1ln\u00FDch \u0159ad m\u016F\u017Eeme n\u00E1sledn\u00E9 generovat n\u00E1hodn\u00E9 pr\u016Fb\u011Bhy um\u011Bl\u00FDch pr\u016Ftokov\u00FDch \u0159ad pou\u017Eit\u00EDm metody LNAR(q)."@cs . "Marton, Daniel" . . . . "Uncertainty, Real Discharge Series, Artificial Discharge Series"@en . "Uncertainty impact for links of real discharge series moon average discharges for generating of artificial discharges series"@en . "Jedn\u00EDm ze z\u00E1kladn\u00EDch podklad\u016F pro n\u00E1vrh a provoz n\u00E1dr\u017E\u00ED jsou informace o p\u0159\u00EDtoku vody do n\u00E1dr\u017Ee charakterizovan\u00E9ho re\u00E1lnou pr\u016Ftokovou \u0159adou. Stanoven\u00ED \u010Dlen\u016F re\u00E1ln\u00FDch pr\u016Ftokov\u00FDch \u0159ad, je zat\u00ED\u017Eeno \u0159adou chyb n\u00E1hodn\u00E9 povahy. Problematika teorie chyb vytvo\u0159ila z\u00E1klad pro zaveden\u00ED pojmu nejistot m\u011B\u0159en\u00ED. Nejistoty m\u011B\u0159en\u00ED m\u016F\u017Eeme ch\u00E1pat jako interval hodnot okolo v\u00FDsledku m\u011B\u0159en\u00ED pr\u016Fm\u011Brn\u00E9ho m\u011Bs\u00ED\u010Dn\u00EDho pr\u016Ftoku. Za pou\u017Eit\u00ED metod Monte - Carlo je mo\u017Eno generovat n\u00E1hodn\u00E9 pr\u016Fb\u011Bhy re\u00E1ln\u00E9 pr\u016Ftokov\u00E9 \u0159ady, tzv. n\u00E1hodn\u00E9 \u0159ady. Z n\u00E1hodn\u00FDch re\u00E1ln\u00FDch \u0159ad m\u016F\u017Eeme n\u00E1sledn\u00E9 generovat n\u00E1hodn\u00E9 pr\u016Fb\u011Bhy um\u011Bl\u00FDch pr\u016Ftokov\u00FDch \u0159ad pou\u017Eit\u00EDm metody LNAR(q)." .