𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Errors from digitizing and noise in estimating attractor dimensions

✍ Scribed by M. Möller; W. Lange; F. Mitschke; N.B. Abraham; U. Hübner


Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
493 KB
Volume
138
Category
Article
ISSN
0375-9601

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Noise propagation and error estimations
✍ Joaquim Jaumot; Raimundo Gargallo; Romà Tauler 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 489 KB

## Abstract Different approaches for the calculation of prediction intervals of estimations obtained in multivariate curve resolution using alternating least squares optimization methods are explored and compared. These methods include Monte Carlo simulations, noise addition and jackknife resamplin

Probability of error in digital fiber op
✍ Y.C. Jenq 📂 Article 📅 1979 🏛 Elsevier Science 🌐 English ⚖ 634 KB

Data transmission uia optical fiber is a new discipline of communication theory. The principal difference from conuentional baseband data transmission, which is characterized by a signal independent additive Gaussian noise, is the existence of a signal dependent shot noise. This paper presents a te

Variability in estimation of coronary di
✍ Legrand, Victor ;Raskinet, Bruno ;Martinez, Christophe ;Kulbertus, Henri 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 640 KB

To investigate the suitability of diagnostic 6F catheters for coronary angiographic measures in the clinical setting, we determined the relative accuracy and reproducibility of the measures obtained with these catheters as scaling devices in 59 stenoses. Comparison was made with duplicate injectlons

Estimating time variation in measurement
✍ George Kapetanios; Tony Yates 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 196 KB 👁 1 views

## Abstract Over time, economic statistics are refined. This implies that data measuring recent economic events are typically less reliable than older data. Such time variation in measurement error affects optimal forecasts. Measurement error, and its time variation, are of course unobserved. Our c