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  • 1.
    Almasri, Abdullah
    Linnaeus University, Faculty of Business, Economics and Design, Linnaeus School of Business and Economics.
    A New Approach for testing Periodicity2011In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415X, Vol. 40, no 7, p. 1196-1217Article in journal (Refereed)
    Abstract [en]

    This paper describes testing for periodicity in the presence of FD processes. We

    propose two approaches for testing the periodicity based on Fisher’s test. The first

    one is performed using the periodogram which has been divided into different parts.

    The second one is based on the discrete wavelet transform. Properties of the tests are

    illustrated by means of Monte Carlo simulations.

  • 2.
    Almasri, Abdullah
    Linnaeus University, Faculty of Business, Economics and Design, Linnaeus School of Business and Economics.
    Tests for Trend: a Simulation Study2010In: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141, Vol. 39, no 3, p. 598-611Article in journal (Refereed)
    Abstract [en]

    In this study, we use the wavelet analysis to construct a test statistic to test for the existence of a trend in the series. We also propose a new approach for testing the presence of trend based on the periodogram of the data. Since we are also interested in the presence of a long-memory process among the data, we study the properties of our test statistics under different degrees of dependency. We compare the results when using the band periodogram test and the wavelet test with results obtained by applying the ordinary least squares (OLS) method under the same conditions.

  • 3. Almasri, Abdullah
    et al.
    Locking, Håkan
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Nationalekonomi och Statistik.
    Shukur, Ghazi
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Nationalekonomi och Statistik.
    Testing for Climate Change in Sweden During 1850-1999, using Wavelet analysis2008In: Journal of Applied Statistics, Vol. 35, no 4Article in journal (Other (popular science, discussion, etc.))
  • 4.
    Almasri, Abdullah
    et al.
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics.
    Locking, Håkan
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics.
    Shukur, Ghazi
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics.
    Wavelet Based Forecasting Approach, with Application2009In: 2009 International Conference on Financial Theory and Engineering / [ed] Patrick Kellenberger, 2009Conference paper (Refereed)
    Abstract [en]

    In this paper we outline a framework for forecasting using maximal overlap discrete wavelet transform (MODWT) based multiresoulution analysis (MRA). This framework has been applied for forecasting the tourism arrival series from Denmark to Norway. We compare forecasted values obtained from modeling the data in the time domain with the forecasted values from the wavelet domain using the traditional Box-Jenkins methodology. In both cases, diagnostic tests have been conducted to insure the specification of the model. The results have shown that the wavelet based forecasts outperforms the traditional Box-Jenkins approach in term of forecasts accuracy.

  • 5.
    Almasri, Abdullah
    et al.
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Nationalekonomi och Statistik.
    Shukur, Ghazi
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Nationalekonomi och Statistik.
    Clustering using Wavelet Transformation2008In: Handbook of Research on Clusters:: Theories, Policies and Case Studies, Edward Elgar , 2008Chapter in book (Other (popular science, discussion, etc.))
  • 6. Hussain, Shakir
    et al.
    Mohamed, A
    Holder, Roger
    Almasri, Abdullah
    Shukur, Ghazi
    Växjö University, Faculty of Humanities and Social Sciences, School of Management and Economics. Nationalekonomi och Statistik.
    Performance Evaluation Based on the Robust Mahalanobis Distance and Multilevel Modelling Using Two New Strategies2008In: Communications in statistics. Simulation and computation, ISSN 0361-0918, E-ISSN 1532-4141, Vol. 37, no 10, p. 1966-1980Article in journal (Refereed)
    Abstract [en]

    In this article, we propose a general framework for performance evaluation of organizations and individuals over time using routinely collected performance variables or indicators. Such variables or indicators are often correlated over time, with missing observations, and often come from heavy-tailed distributions shaped by outliers. Two new double robust and model-free strategies are used for evaluation (ranking) of sampling units. Strategy 1 can handle missing data using residual maximum likelihood (RML) at stage two, while strategy two handles missing data at stage one. Strategy 2 has the advantage that overcomes the problem of multicollinearity. Strategy one requires independent indicators for the construction of the distances, where strategy two does not. Two different domain examples are used to illustrate the application of the two strategies. Example one considers performance monitoring of gynecologists and example two considers the performance of industrial firms.

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