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                                     EXV8007 SPECIAL TOPICS IN STATISTICS

             Learning Outcomes           At the end of the course, students are able to:

                                         (1) Interpret  the  statistical  problem  of  interest  that  achieves  a
                                             specific objective in the analysis of data;
                                         (2) Determine  statistical  methodologies  that  address  the
                                             statistical problem of interest;
                                         (3) Evaluate  the  developments  in  the  theoretical  and  empirical
                                             literature regarding the selected methodologies;
                                         (4) Investigate   empirically   the    application   of    these
                                             methodologies; and
                                         (5) Evaluate  critically  the  findings  in  the  light  of  the  specific
                                             objective to be achieved.
             Synopsis of Course          This  course  covers  special  topics  in  statistics  required  by  the
             Contents                    student  in  his/her research.   Typically  these  topics  will  be  from
                                         Industrial  Statistics,  Econometrics,  Biostatistics  or  Social
                                         Statistics.  The  main  objective  of  the  course  is  to  develop
                                         expertise  in  the  statistical  methodologies  required  to  address  a
                                         specific  objective  in  the  analysis  of  data. The  student  learns  to
                                         define  the  related  statistical  problem  of  interest,  identify  and
                                         assess various methodologies in the literature that address this
                                         problem  and  then  select  the  one  best  suited  for  his  or  her
                                         research needs.  For this method (or these methods), the student
                                         investigates  the theoretical  and  empirical  developments  as  well
                                         as its (their) application to a data set with given characteristics.
                                         Finally, through the critical evaluation of findings, the student is
                                         able  to  determine  the  appropriate  statistical  methodology  to
                                         address a specific objective in the analysis of data. The student is
                                         required  to  do  a  presentation  and  submit  an  essay  (5,000  to
                                         8,000 words) at the end of the course.
             Assessment                  Continuous Assessment: 100%
                                         Final Examination: -
             Main References :
             (1) Greene, W. (2012) Econometric Analysis, New York: Pearson Education, Inc. 7th Edition.
             (2) Johnson, R.A. and D. W. Wichern (2014) Applied Multivariate Statistical Analysis. London:
                 Pearson Education Limited. 6th Edition.
             (3) Felix Abramovich & Ya'acov Ritov (2013). Statistical Theory: A Concise Introduction, CRC
                 Press.
















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