Multivariate survival analysis for casecontrol family data

Analysis of Multivariate Survival Data

📁 Analysis of Multivariate Survival Data

✍ Philip Hougaard (auth.) 📂 Library 📅 2000 🏛 Springer-Verlag New York 🌐 English

<p>Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariat

Shearlets: Multiscale Analysis for Multi

📁 Shearlets: Multiscale Analysis for Multivariate Data

✍ Gitta Kutyniok, Demetrio Labate (auth.), Gitta Kutyniok, Demetrio Labate (eds.) 📂 Library 📅 2012 🏛 Birkhäuser Basel 🌐 English

<p><p>Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means of encoding isotropic phenomena. Directional multiscale systems, particularly shearlets, are now having the same dramatic impact on the encoding of multi

Shearlets : multiscale analysis for mult

📁 Shearlets : multiscale analysis for multivariate data

✍ Gitta Kutyniok; et al (eds.) 📂 Library 📅 2012 🏛 Birkhauser 🌐 English

Applied Multivariate Methods for Data An

📁 Applied Multivariate Methods for Data Analysts

✍ Dallas E. Johnson 📂 Library 📅 1998 🏛 Duxbury Press 🌐 English

Statisticians and nonstatisticians alike will appreciate this modern and comprehensive new book on multivariate statistical methods that utilizes statistical computing packages throughout. Author Dallas Johnson uses real-life examples and explains the "when to," "why to," and "how to" of numerous mu

Applied Multivariate Methods for Data An

📁 Applied Multivariate Methods for Data Analysts

✍ Dallas E. Johnson 📂 Library 📅 1998 🏛 Duxbury Press 🌐 English

Statisticians and nonstatisticians alike will appreciate this modern and comprehensive new book on multivariate statistical methods that utilizes statistical computing packages throughout. Author Dallas Johnson uses real-life examples and explains the "when to," "why to," and "how to" of numerous mu

Multivariate data analysis

📁 Multivariate data analysis

✍ Joseph F Hair; et al 📂 Library 📅 2009 🏛 Prentice Hall 🌐 English

Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emph