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  • 1.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    A Approach for Analysing the Fractional Difference Processes2006Conference paper (Refereed)
  • 2.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Some aspects of wavelet analysis in time series2000Licentiate thesis, monograph (Other academic)
  • 3.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Testing for Periodicity and Trend in Long-Memory Processes2003Doctoral thesis, monograph (Other academic)
  • 4.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Andersson, Eva M
    Barregård, Lars
    A study of residential radon in Sweden using multilevel analysis2008In: Health Physics Journal, to appear 2008Article in journal (Refereed)
    Abstract [en]

    A Swedish radon data set, consisting of more than 8000 measurements of residential radon levels in about 50% of the Swedish municipalities were analysed using a multilevel approach.

    The results were compared with those of a single-level analysis. We found that there was a significant variability between municipalities. The point estimates of the population mean radon levels were similar (geometric mean 60 Bq/m3 and arithmetic mean 106 Bq/m3).

    The analysis shows the advantages of multilevel modeling compared with a single-level OLS model.

    A single-level model results in too optimistic standard errors, about 25% of those of the multilevel

    model which can lead to erroneous conclusions.

    In a multilevel model including house type as a fixed effect (single-family house, row house, or apartment in multi-family house), the estimates of the fixed effect of house type were similar for the single-level and the multi-level models

  • 5.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Hussain, S
    Holmquist, B
    Impact of the Periodicity and Trend on the FD Parameter Estimation2007In: Journal of Statistical Computation and Simulation. 2007, 77, 79-87Article in journal (Refereed)
  • 6.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Locking, Håkan
    Shukur, Ghazi
    Testing for climate warming in Sweden during 1850-1999, using wavelets analysis2008In: Journal of Applied Statistics, 2008, vol. 35, issue 4, pages 431-443Article in journal (Refereed)
    Abstract [en]

    This paper describes an alternative approach for testing for the existence of trend among time series. The test method has been constructed using wavelet analysis which has the ability of decomposing a time series into low frequencies (trend) and high-frequency (noise) components. Under the normality assumption, the test is distributed as F. However, using generated empirical critical values, the properties of the test statistic have been investigated under different conditions and different types of wavelet. The Harr wavelet has shown to exhibit the highest power among the other wavelet types. The methodology here has been applied to real temperature data in Sweden for the period 1850-1999. The results indicate a significant increasing trend which agrees with the 'global warming' hypothesis during the last 100 years.

  • 7.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
    Mansson, K.
    Gothenburg Univ, Dept Econ & Stat, Gothenburg, Sweden.;Jonkoping Int Business Sch, Dept Econ Finance & Stat, Jonkoping, Sweden..
    Sjolander, P.
    Jonkoping Int Business Sch, Dept Econ Finance & Stat, Jonkoping, Sweden..
    Shukur, G.
    Jonkoping Int Business Sch, Dept Econ Finance & Stat, Jonkoping, Sweden.;Linnaeus Univ, Dept Econ & Stat, Vaxjo, Sweden..
    A wavelet-based panel unit-root test in the presence of an unknown structural break and cross-sectional dependency, with an application of purchasing power parity theory in developing countries2017In: Applied Economics, ISSN 0003-6846, E-ISSN 1466-4283, Vol. 49, no 21, p. 2096-2105Article in journal (Refereed)
    Abstract [en]

    This article introduces two different non-parametric wavelet-based panel unit-root tests in the presence of unknown structural breaks and cross-sectional dependencies in the data. These tests are compared with a previously suggested non-parametric wavelet test, the parameteric Im-Pesaran and Shin (IPS) test and a Wald type of test. The results from the Monte Carlo simulations clearly show that the new wavelet-ratio tests are superior to the traditional tests both in terms of size and power in panel unit-root tests because of its robustness to cross-section dependency and structural breaks. Based on an empirical Central American panel application, we can, in contrast to previous research (where bias due to structural breaks is simply disregarded), find strong, clear-cut support for purchasing power parity (PPP) in this developing region.

  • 8.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Shukur, G.
    An Illustration of the Causality Relation between Government Spending and Revenue Using Wavelets Analysis on Finish Data2003In: Journal of Applied Statistics, 2003, 30, 571-584Article in journal (Refereed)
    Abstract [en]

    Quarterly data for the period 1960:1 to 1997:2, conventional tests, a bootstrap simulation approach and a multivariate Rao's F-test have been used to investigate if the causality between government spending and revenue in Finland was changed at the beginning of 1990 due to future plans to create the European Monetary Union (EMU). The results indicate that during the period before 1990, the government revenue Granger-caused spending, while the opposite happened after 1990, which agrees better with Barro's tax smoothing hypothesis. However, when using monthly data instead of quarterly data for almost the same sample period, totally different results have been noted. The general conclusion is that the relationship between spending and revenue in Finland is still not completely understood. The ambiguity of these results may well be due to the fact that there are several time scales involved in the relationship, and that the conventional analyses may be inadequate to separate out the time scale structured relationships between these variables. Therefore, to investigate empirically the relation between these variables we attempt to use the wavelets analysis that enables us to separate out different time scales of variation in the data. We find that time scale decomposition is important for analysing these economic variables.

  • 9.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Shukur, G
    Testing the Causal Relation between Sunspots and Temperature Using Wavelets Analysis2005In: Journal of Modern Applied Statistical Methods, 2005, 4, 134-139Article in journal (Refereed)
  • 10.
    Almasri, Abdullah
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Shukur, Ghazi
    Clustering Using Wavelet Transformation2008In: Handbook of Research on Cluster Theory / [ed] Charlie Karlsson, Edward Elgar , 2008Chapter in book (Refereed)
  • 11.
    Gonäs, Lena
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Rosenberg, Kerstin
    Karlstad University, Faculty of Arts and Education, Department of Culture and Gender studies.
    Holth, Line
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Mc Ewen, Birgitta
    Karlstad University, Faculty of Arts and Education, Department of Culture and Gender studies.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Att riva murar - samspel mellan utbildning och arbetsliv: En rapport från JämVäxt-projektet vid Karlstads universitet2009Report (Other academic)
  • 12. Harley, M
    et al.
    Mohammed, A M
    Hussain, S
    Yates, J
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Was Rodney Ledward a statistical outlier? Retrospective analysis using hospital data to identify gynaecologists performance2005In: British Medical Journal, 2005, 330, 929Article in journal (Refereed)
    Abstract [en]

    Objectives: To investigate whether routinely collected data from hospital episode statistics could be used to identify the gynaecologist Rodney Ledward, who was suspended in 1966 and was the subject of the Ritchie inquiry into quality and practice within the NHS.

    Design A mixed scanning approach was used to identify seven variables from hospital episode statistics that were likely to be associated with potentially poor performance. A blinded multivariate analysis was undertaken to determine the distance (known as the Mahalanobis distance) in the seven indicator multidimensional space that each consultant was from the average consultant in each year. The change in Mahalanobis distance over time was also investigated by using a mixed effects model.



    Setting: NHS hospital trusts in two English regions, in the five years from 1991-2 to 1995-6.



    Population: Gynaecology consultants (n = 143) and their hospital episode statistics data.



    Main outcome measure Whether Ledward was a statistical outlier at the 95% level.



    Results: The proportion of consultants who were outliers in any one year (at the 95% significance level) ranged from 9% to 20%. Ledward appeared as an outlier in three of the five years. Our mixed effects (multi-year) model identified nine high outlier consultants, including Ledward.



    Conclusion: It was possible to identify Ledward as an outlier by using hospital episode statistics data. Although our method found other outlier consultants, we strongly caution that these outliers should not be overinterpreted as indicative of "poor" performance. Instead, a scientific search for a credible explanation should be undertaken, but this was outside the remit of our study. The set of indicators used means that cancer specialists, for example, are likely to have high values for several indicators, and the approach needs to be refined to deal with case mix variation. Even after allowing for that, the interpretation of outlier status is still as yet unclear. Further prospective evaluation of our method is warranted, but our overall approach may be potentially useful in other settings, especially where performance entails several indicator variables.

  • 13.
    Holth, Line
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Gonäs, Lena
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science. Karolinska Institutet.
    Career patterns for IT engineering graduates2013In: Economic and Industrial Democracy, ISSN 0143-831X, E-ISSN 1461-7099, Vol. 34, no 3, p. 519-535Article in journal (Refereed)
    Abstract [en]

    Abstract

    Women constitute a clear minority in the field of information and communications technology (ICT) in higher education as well as in the job market. At the same time, this field is expected to have a shortage of qualified people in the future. Do women and men engineering graduates have the same career opportunities? This article problematizes the relationship between higher education in engineering and opportunities on the job market. The results show that men reach higher positions to a greater extent than women, and that women remain in low-qualification jobs to a greater extent than men.

  • 14.
    Holth, Line
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Gonäs, Lena
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Rosenberg, Kerstin
    Karlstad University, Faculty of Arts and Education, Department of Culture and Gender studies. Karlstad University, Faculty of Arts and Education, Centrum för genusforskning.
    Breaking Gender Stereotypes? The Role of Higher Technical Education and the Labour Market2010Conference paper (Refereed)
  • 15.
    Holth, Line
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Gonäs, Lena
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Rosenberg, Kerstin
    Karlstad University, Faculty of Arts and Education, Department of Culture and Gender studies. Karlstad University, Faculty of Arts and Education, Centrum för genusforskning.
    Breaking the Gender Stereotypes?: The role of higher education2010Conference paper (Refereed)
  • 16.
    Holth, Line
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Working Life Science.
    Gonäs, Lena
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Rosenberg, Kerstin
    Karlstad University, Faculty of Arts and Education, Centrum för genusforskning.
    IT-ingenjörers etablering på arbetsmarknaden2012In: Arbetsmarknad & Arbetsliv, ISSN 1400-9692, Vol. 18, no 2, p. 13-27Article in journal (Refereed)
    Abstract [sv]

    Kvinnor utgör en klar minoritet inom området informations- och kommunikationsteknologi, både inom den högre utbildningen och på arbetsmarknaden. Artikeln problematiserar relationen mellan den högre tekniska utbildningen och positioner på arbetsmarknaden. Får kvinnor och män samma utbyte av sin ingenjörsexamen i arbetslivet? Resultaten visar att män i större utsträckning än kvinnor når högre positioner. Vidare ser vi att kvinnor stannar i lågkvalificerade jobb i högre utsträckning än män.

  • 17. Hussain, S
    et al.
    Elbergali, A
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Parsimonious Modelling, Testing and Forecasting of Long-Range Dependence in Wind Speed2004In: Environmetrics, 2004, 15, 155-171Article in journal (Refereed)
    Abstract [en]

    Detecting and estimating long-range dependence are important in the analysis of many environmental time series. This article proposes a periodogram roughness (PR) estimator and describes its uses for testing and estimating the dependence structure. Asymptotic critical values are generated for performing the test, and special attention is given to investigating the properties of the PR regarding size and power. The conventional short-memory models, such as the autoregressive (AR), are shown to be less parsimonious. Forecasting errors of both fractional Gaussian noise (FGN) and fractional autoregressive moving average (FARMA) are investigated by conducting simulation studies. In addition to the PR, maximum likelihood (ML) and semi-parametric (SP) estimators are used and evaluated. Our results have shown that more accurate forecasted points are obtained when using the fractional forecasting. The methods are illustrated using Swedish wind speed data

  • 18. Hussain, S.
    et al.
    Mohamed, M. A.
    Holder, R.
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Shukur, G.
    Performance Evaluation Based on the Robust Mahalanobis Distance and Multilevel Modeling 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)
  • 19. Lilford, Richard
    et al.
    Girling, Alan
    Stevens, Andrew
    Almasri, Abdullah
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics.
    Mohammed, Mohammed A
    Braunholtz, David
    Adjusting for treatment refusal in rationing decisions2006In: BMJ 2006;332;542-544Article in journal (Refereed)
1 - 19 of 19
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