✦ LIBER ✦

Graphical Techniques for Selecting Explanatory Variables for Time Series Data

✍ Scribed by J. M. Marriott; A. N. Pettitt

Book ID: 108547736
Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 539 KB
Volume: 46
Category: Article
ISSN: 0035-9254
DOI: 10.1111/1467-9876.00064

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An introduction to real-time graphical t

An introduction to real-time graphical techniques for analyzing multivariate data

✍ Jerome H. Friedman; John Alan McDonald; Werner Stuetzle 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 686 KB

The biplot graphic technique for the rep

The biplot graphic technique for the representation of multivariate time series

✍ David Gheva 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 526 KB

The paper applies the graphical technique known as biplot to the treatment of multivariate time series. The focus is on the analysis of a matrix whose observations form a time series and it is shown how the effect of time can be segregated. A dynamic biplot representation of a particular market is p

Guidelines for using variable selection

Guidelines for using variable selection techniques in data envelopment analysis

✍ Niranjan R. Nataraja; Andrew L. Johnson 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 432 KB

A TIME SERIES DEMAND FOR WATER USING MIC

A TIME SERIES DEMAND FOR WATER USING MICRO DATA AND BINARY VARIABLES

✍ W. Douglas Morgan 📂 Article 📅 1974 🏛 American Water Resources Association 🌐 English ⚖ 343 KB

A method for selecting similar learning

A method for selecting similar learning data in the prediction of time series using neural networks

✍ Hisashi Shimodaira 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 521 KB

A phase-locking technique for estimating

A phase-locking technique for estimating the ensemble average of time-series data

✍ Perlman, B.; Auerbach, V. 📂 Article 📅 1977 🏛 IEEE ⚖ 564 KB