Nonlinear Time Series Modelling: Monitoring a Drilling Process-Reference-Cited by-同舟云学术

Nonlinear Time Series Modelling: Monitoring a Drilling Process

Published: Issue: Volume: Page:302-309
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Container-title:From Data and Information Analysis to Knowledge Engineering
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Author:

Messaoud Amor,Weihs Claus,Hering Franz

Publisher

Springer-Verlag

Link

http://link.springer.com/content/pdf/10.1007/3-540-31314-1_36.pdf

Reference10 articles.

1. BARAGONA, R.; BATTAGLIA, F.; and CUCINA, D. (2004): A Note on Estimating Autoregressive Exponential Models. Quaderni di Statistica, 4, 1–18.

2. GIBBONS, J. D. and CHAKRABORTI, S. (1992): Nonparametric Statistical Inference. 3rd ed. Marcel Dekker, New York, NY.

3. HACKL, P. and LEDOLTER, J. (1992): A New Nonparametric Quality Control Technique. Communications in Statistics-Simulation and Computation 21, 423–443.

4. HAGGAN, V. and OZAKI, T. (1981): Modelling Nonlinear Random Vibration Using Amplitude Dependent Autoregressive Time Series Model. Biometrika, 68, 189–196.

5. MESSAOUD, A.; W.; WEIHS, C.; and HERING, F. (2005): Modelling the Nonlinear Time Varying Dynamics of a Drilling Process. Technical Report of SFB 475, University of Dortmund.

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