Parametry
- 588 stron
- 21 godzin czytania
Więcej o książce
R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of qualitative disciplines.
Zakup książki
Statistical Modelling in R, Murray A. Aitkin, Brian Francis, John Hinde, Ross Darnell
- Język
- Rok wydania
- 2009
- Oprawa
- (miękka)
Metody płatności
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- Tytuł
- Statistical Modelling in R
- Język
- angielski
- Autorzy
- Murray A. Aitkin, Brian Francis, John Hinde, Ross Darnell
- Wydawca
- Oxford University Press
- Rok wydania
- 2009
- Oprawa
- miękka
- Liczba stron
- 588
- ISBN10
- 0199219133
- ISBN13
- 9780199219131
- Seria
- Kategorie
- Tagi
- Tematy historyczne, Sztuka, Tematyka medyczna, Badania naukowe, Statystyka, Przetwarzanie Danych, Epidemiologia
- Opis
- R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of qualitative disciplines.