Primer of Applied Regression & Analysis of Variance, Third Edition
Sorozatcím: A & L LANGE SERIES;
-
10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár GBP 115.99
-
55 414 Ft (52 775 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 5 541 Ft off)
- Kedvezményes ár 49 872 Ft (47 498 Ft + 5% áfa)
Iratkozzon fel most és részesüljön kedvezőbb árainkból!
Feliratkozom
55 414 Ft
Beszerezhetőség
Bizonytalan ideig nincs raktáron a kiadónál, rendelése nem javasolt.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadás sorszáma 3
- Kiadó McGraw-Hill Education
- Megjelenés dátuma 2015. december 16.
- ISBN 9780071824118
- Kötéstípus Keménykötés
- Terjedelem1216 oldal
- Méret 241x190x50 mm
- Súly 1916 g
- Nyelv angol 0
Kategóriák
Rövid leírás:
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods.
TöbbHosszú leírás:
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
A textbook on the use of advanced statistical methods in healthcare sciences
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background.
The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA.
- Four completely new chapters
- Completely updated software information and examples
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
A textbook on the use of advanced statistical methods in healthcare sciences
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background.
The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA.
- Four completely new chapters
- Completely updated software information and examples
Tartalomjegyzék:
1. Why Do Multivarite Analysis?
2. Understanding Simple Linear Regression
3. Regression with Two or More Independent Variables
4. Do the Data Fit the Assumptions?
5. Multicollinearity and What to Do About it?
6. Selecting the "Best" Regression Model
7. Missing Data (NEW)
8. One-Way Analysis of Variance
9. Two-Way Analysis of Variance
10. Nonlinear Regression (NEW)
11. Repeated Measures
12. Mixing Continuous and Categorical Variables: Analysis of Covariance
13. Survival Analysis (NEW)
14. Logistic Regression (NEW)
Appendices
Több
