Estimate Survival Function for Brain Cancer Disease: on Complete Data by Using Weibull Distribution - Iden Hasan Alkanani - Boeken - LAP LAMBERT Academic Publishing - 9783847317074 - 24 januari 2012
Indien omslag en titel niet overeenkomen, is de titel correct

Estimate Survival Function for Brain Cancer Disease: on Complete Data by Using Weibull Distribution

Prijs
€ 42,99

Besteld in een afgelegen magazijn

Verwachte levering 25 nov. - 3 dec.
Kerstcadeautjes kunnen tot en met 31 januari worden ingewisseld
Ontvang meldingen over nieuwe releases van Iden Hasan Alkanani
Voeg toe aan uw iMusic-verlanglijst

Nog niet beoordeeld

The subject of reliability and survival is one of the most important subjects and statistical procedure in current time which is interested in many fields, especially in medical, industrial and engineering fields. The Weibull distribution is one of the most popular failure time dealing with various data because its flexibility. In this research deriving and finding the survival probability function, hazard probability function and failure (death) probability function for three ? parameters weibull distribution of brain cancer in complete data to satisfying that estimating all parameters (shape, scale and location) using three classical methods (MLE method, ME method and OLS method)to find the survival function. Depending on sample from real data which describe the duration of survivor for patients who suffer from the brain cancer based on diagnosis of disease or the enter of patients in a hospital for period 1/1/2009 until 31/12/2009. Calculating and estimating survival, hazard and failure (death) functions from calculating and estimating the three ? parameters in Weibull distribution by using three classical previous mention methods.

Media Boeken     Paperback Book   (Boek met zachte kaft en gelijmde rug)
Vrijgegeven 24 januari 2012
ISBN13 9783847317074
Uitgevers LAP LAMBERT Academic Publishing
Pagina's 80
Afmetingen 150 × 5 × 226 mm   ·   137 g
Taal en grammatica Duits  

Meer door Iden Hasan Alkanani