Univariate approach to the monthly total ozone time series over Kolkata, India: Autoregressive integrated moving average (ARIMA) and autoregressive neural network (AR-NN) models

International Journal of Remote Sensing

Volumn 31, Issue 3, 2010, Pages 575-583

  Chattopadhyay, Goutami ^a   Chattopadhyay, Surajit ^b  

^a Pailan College of Management and Technology ^*  (India)

^b PAILAN COLLEGE OF MANAGEMENT AND TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; OZONE;

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; AUTOREGRESSIVE NEURAL NETWORKS; EARTH PROBE TOTAL OZONE MAPPING SPECTROMETERS; MODELLING METHODOLOGY; PEARSON CORRELATION COEFFICIENTS; PREDICTION ERRORS; PREDICTIVE MODELING; TOTAL OZONE CONCENTRATIONS;

TIME SERIES;

ARTIFICIAL NEURAL NETWORK; CORRELATION; ERROR ANALYSIS; NUMERICAL MODEL; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; TOMS; TOTAL OZONE; VARIANCE ANALYSIS;

CALCUTTA; INDIA; WEST BENGAL;

EID: 77951219894     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160902893592     Document Type: Article

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