Advanced Linear Modeling
Produktnummer:
18154276dbf72549f3b7b0266bc135f39a
| Autor: | Christensen, Ronald |
|---|---|
| Themengebiete: | ANOVA Excel Factor analysis STATISTICA Time series data analysis heteroscedasticity mathematical statistics mixed models multivariate models |
| Veröffentlichungsdatum: | 08.01.2021 |
| EAN: | 9783030291662 |
| Auflage: | 3 |
| Sprache: | Englisch |
| Seitenzahl: | 608 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Untertitel: | Statistical Learning and Dependent Data |
Produktinformationen "Advanced Linear Modeling"
Now in its third edition, this companion volume to Ronald Christensen’s Plane Answers to Complex Questions uses three fundamental concepts from standard linear model theory—best linear prediction, projections, and Mahalanobis distance— to extend standard linear modeling into the realms of Statistical Learning and Dependent Data. This new edition features a wealth of new and revised content. In Statistical Learning it delves into nonparametric regression, penalized estimation (regularization), reproducing kernel Hilbert spaces, the kernel trick, and support vector machines. For Dependent Data it uses linear model theory to examine general linear models, linear mixed models, time series, spatial data, (generalized) multivariate linear models, discrimination, and dimension reduction. While numerous references to Plane Answers are made throughout the volume, Advanced Linear Modeling can be used on its own given a solid background in linear models. Accompanying R code for the analyses is available online.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen