Fortell venner om denne varen:
Multivariate Dependencies: Models, Analysis and Interpretation - Chapman & Hall / CRC Monographs on Statistics and Applied Probability D.R. Cox 1. utgave
Bestillingsvarer
Julegaver kan byttes frem til 31. januar
Finnes også som:
Multivariate Dependencies: Models, Analysis and Interpretation - Chapman & Hall / CRC Monographs on Statistics and Applied Probability
D.R. Cox
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail.
The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.
272 pages
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 17. oktober 2019 |
| ISBN13 | 9780367401375 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 272 |
| Mål | 150 × 220 × 10 mm · 390 g |
| Språk | Engelsk |
| Serieredaktør | Isham, Valerie |
| Serieredaktør | Keiding, Niels (University of Copenhagen, Denmark) |
| Serieredaktør | Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA) |
| Serieredaktør | Reid, N. (University of Toronto, Ontario, Canada) |
| Serieredaktør | Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA) |
| Serieredaktør | Tong, Howell (London School of Economics, UK London School of Economics, UK) |