Handbook for Applied Modeling: Non-Gaussian and Correlated Data
1123 Kč 1 156 Kč
Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.
| Autor: | Riggs, Jamie D. (Northwestern University, Illinois); Lalonde, Trent L. (University of Northern Colorado) |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9781316601051 |
| Rok vydání: | 2017 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 228 |
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