Kaikki kirjat 25 % alennuksella koodilla: BOOKS

  • check Yli 10 miljoonaa kirjaa
  • check Uutuuksia joka päivä
  • check Yli 1 miljoona asiakasta luottaa meihin
  • check Hyvät hinnat ja alennukset
  • check Toimitus koko Eurooppaan

Non-Parametric Statistical Diagnosis: Problems and Methods - E. Brodsky,B. S. Darkhovsky

englanti
2000-04-30
254,08 € 338,78 €

-25% koodilla BOOKS

Toimittajalla varastossa

Toimitus 17-23 arkipäivässä

30 päivän palautusoikeus

This book has a distinct philosophy and it is appropriate to make it explicit at the outset. In our view almost all classic statistical inference is based upon the assumption (explicit or implicit) that there exists a fixed probabilistic mechanism of data generation. Unlike classic statistical inference, this book is devoted to the statistical analysis of data about complex objects with more than one probab ... Täydellinen kuvaus

Saatat myös pitää

Kuvaus

This book has a distinct philosophy and it is appropriate to make it explicit at the outset. In our view almost all classic statistical inference is based upon the assumption (explicit or implicit) that there exists a fixed probabilistic mechanism of data generation. Unlike classic statistical inference, this book is devoted to the statistical analysis of data about complex objects with more than one probabilistic mechanism of data generation. We think that the exis­ tence of more than one data generation process (DGP) is the most important characteristic of com plex systems. When the hypothesis of statistical homogeneity holds true, Le., there exists only one mechanism of data generation, all statistical inference is based upon the fundamentallaws of large numbers. However, the situation is completely different when the probabilistic law of data generation can change (in time or in the phase space). In this case all data obtained must be 'sorted' in subsamples generated by different probabilistic mechanisms. Only after such classification we can make correct inferences about all DGPs. There exists yet another type of problem for complex systems. Here it is important to detect possible (but unpredictable) changes of DGPs on-line with data collection. Since the complex system can change the probabilistic mechanism of data generation, the correct statistical analysis of such data must begin with decisions about possible changes in DGPs.

Lisätietoja

Kirjoittaja E. Brodsky, B. S. Darkhovsky
Julkaisija Springer Netherlands
Series Mathematics and Its Applications
Julkaisuvuosi 2000
Kannen tyyppi Kovakantinen
EAN 9780792363286
Kirjoita oma arvostelusi
Arvostelet: Non-Parametric Statistical Diagnosis: Problems and Methods
Arvostelusi:

Goodreads-arvostelut

254,08 € 338,78 €