E. Maharaj

发表

A wavelet based investigation of long memory in stock returns

P. Tan, D. Galagedera, E. Maharaj, 2012 .

Current Measures to Protect E-Consumers' Privacy in Australia

E. Maharaj, K. Coghill, T. Ha, 2009 .

What drives the Libor–OIS spread? Evidence from five major currency Libor–OIS spreads

F. In, E. Maharaj, J. Cui, 2016 .

Are Asia-Pacific Stock Markets Predictable? Evidence from Wavelet-based Fractional Integration Estimator

P. Tan, D. Galagedera, E. Maharaj, 2011 .

D ISCRIMINANT ANALYSIS OF M ULTIVARIATE TIME SERIES USING W AVELETS

E. Maharaj, A. Alonso, 2012 .

Using Evolutionary Spectra to Forecast Time Series

E. Maharaj, 2003 .

Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods

J. Inekwe, E. Maharaj, Mita Bhattacharya, 2019, Environmental and Ecological Statistics.

Australia/US/China Preferential Trade Negotiations: Building Alliances and Realizing Workers' Rights to a `Voice at the Table'

E. Maharaj, C. Nyland, A. O'Rourke, 2007 .

Early childhood education and care in urban China: the importance of parental choice

E. Maharaj, C. Nyland, B. Nyland, 2009 .

Classification of cyclical time series using complex demodulation

E. Maharaj, 2013, Statistics and Computing.

Autoregressive model-based fuzzy clustering and its application for detecting information redundancy in air pollution monitoring networks

E. Maharaj, P. D’Urso, Dario Di Lallo, 2012, Soft Computing.

Fuzzy clustering of time series using extremes

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Andrés M. Alonso, 2017, Fuzzy Sets Syst..

Classification of cyclical time series using complex demodulation

Elizabeth Ann Maharaj, E. Maharaj, 2014, Stat. Comput..

Clustering seasonal time series using extreme value analysis: An application to Spanish temperature time series

Andrés M. Alonso, Pierpaolo D’Urso, E. Maharaj, 2015 .

Time-Series Clustering

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado, 2015 .

Assessment of air quality index of urban area and epidemiological investigations in Chennai

E. Maharaj, M. Kumar, S. Sivanesan, 2019, Journal of Environmental Biology.

Fuzzy clustering of time series in the frequency domain

Elizabeth Ann Maharaj, Pierpaolo D'Urso, E. Maharaj, 2011, Inf. Sci..

Cepstral-based clustering of financial time series

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Livia De Giovanni, 2020, Expert Syst. Appl..

Wavelet-based Fuzzy Clustering of Time Series

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Don U. A. Galagedera, 2010, J. Classif..

A SIGNIFICANCE TEST FOR CLASSIFYING ARMA MODELS

Elizabeth Ann Maharaj, E. Maharaj, 1996 .

Time Series Clustering and Classification

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado, 2019 .

Comparison and classification of stationary multivariate time series

Elizabeth Ann Maharaj, E. Maharaj, 1999, Pattern Recognit..

Wavelet timescales and conditional relationship between higher-order systematic co-moments and portfolio returns

D. Galagedera, E. Maharaj, 2008 .

Relationship between downside risk and return: new evidence through a multiscaling approach

D. Galagedera, E. Maharaj, R. Brooks, 2006 .

Wavelet Timescales and Conditional Relationship between Higher-Order Systematic Co-Moments and Portfolio Returns: Evidence in Australian Data

D. Galagedera, E. Maharaj, 2004 .

Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals

Elizabeth Ann Maharaj, Andrés M. Alonso, E. Maharaj, 2014, Comput. Stat. Data Anal..

Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods

J. Inekwe, E. Maharaj, Mita Bhattacharya, 2019, Environmental and Ecological Statistics.

Wavelet‐based self‐organizing maps for classifying multivariate time series

Pierpaolo D'Urso, Riccardo Massari, Livia De Giovanni, 2014 .

Autoregressive model-based fuzzy clustering and its application for detecting information redundancy in air pollution monitoring networks

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Dario Di Lallo, 2013, Soft Comput..

Polarization of forecast densities: A new approach to time series classification

Elizabeth Ann Maharaj, Shen Liu, Brett Inder, 2014, Comput. Stat. Data Anal..

Forecasting an index of the Madden‐oscillation

Elizabeth Ann Maharaj, Matthew C. Wheeler, M. Wheeler, 2005 .

Cluster of Time Series

Elizabeth Ann Maharaj, E. Maharaj, 2000, J. Classif..

A coherence-based approach for the pattern recognition of time series

Elizabeth Ann Maharaj, Pierpaolo D'Urso, E. Maharaj, 2010 .

Impact of capital control measures on the Malaysian stock market: A multiresolution analysis

E. Maharaj, M. Raghavan, Jonathan Dark, 2010 .

Wavelets-based clustering of multivariate time series

Elizabeth Ann Maharaj, Pierpaolo D'Urso, E. Maharaj, 2012, Fuzzy Sets Syst..

A test for the difference parameter of the Arfima model using the moving blocks bootstrap

E. Maharaj, 1999 .

Comparison of time series using subsampling

Elizabeth Ann Maharaj, Andrés M. Alonso, E. Maharaj, 2005, Comput. Stat. Data Anal..

Wavelet Estimation of Asymmetric Hedge Ratios: Does Econometric Sophistication Boost Hedging Effectiveness?

E. Maharaj, I. Moosa, P. Silvapulle, 2008 .

Clustering of interval time series

Elizabeth Ann Maharaj, Paula Brito, Paulo Teles, 2019, Statistics and Computing.

A hypothesis test using bias-adjusted AR estimators for classifying time series in small samples

Elizabeth Ann Maharaj, Shen Liu, E. Maharaj, 2013, Comput. Stat. Data Anal..