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Faculty of Science Handbook, Session 2019/2020


               Assessment:                                     References:
               Continuous Assessment:       40%                 1.   Lefebvre,  M.  (2007).  Applied  stochastic  processes.
               Final Examination:           60%                     Springer.
                                                                2.   Ross, S. M. (2007). Introduction to probability models
               Medium of Instruction:                               (9  ed.). Academic Press.
                                                                     th
               English                                          4.   Jones,  P.  W.  (2001).  Stochastic  processes:  An
                                                                    introduction. Arnold.
               Soft Skills:                                     5.    Durrett,   R.   (2012).   Essentials   of  stochastic
               CS3, CTPS3                                           processes. Springer.

               References:
               1.   R.  V.  Hogg,  E.  A.  Tanis,  &  D.  Zimmerman.  (2015).   SIT2004   REGRESSION ANALYSIS
                   Probability  and  statistical  inference  (9   ed.). Prentice
                                              th
                   Hall.                                       Simple  linear  regression:  Estimation,  hypothesis  testing,
               2.   R.  V.  Hogg,  J.  W.  McKean,  &  T.C.  Craig.  (2013).   analysis  of  variance,  confidence  intervals,  correlation,  the
                   Introduction  to  mathematical  statistics  (7   ed.).   residuals,  prediction.    Model  inadequacies,  diagnostic,
                                                    th
                   Prentice-Hall.                              heterogeneity  of  variance,  nonlinearity,  distributional
               3.   D. Wackerly, W. Mendenhall, R. L. Scheaffer. (2008).   assumption,  outliers,  transformation.    Selected  topics  on
                                                     th
                   Mathematical and statistics with applications (7  ed.).   matrix  theory  and  multivariate  normal  distribution:  An
                   Thomson.                                    introduction to multiple linear regression.

                                                               Assessment:
               SIT2002   FURTHER MATHEMATICAL STATISTICS        Continuous Assessment:      40%
                                                               Final Examination:           60%
               The  exponential  family;  sufficient,  complete  and  ancillary
               statistics; Minimum variance unbiased estimators; Sufficient   Medium of Instruction:
               statistics  and  best  estimators;  Bayesian  estimation;  Delta   English
               method  for  asymptotic  approximation;  Distributions  of
               special  quadratic  forms;  One  and  two  factors  analysis  of   Soft Skills:
               variance;  Linear  regression  theory  and  inference  of   CS2, CTPS3, EM1
               parameters;  Correlation  analysis  in  bivariate  normal
               distribution; Sequential probability ratio test.   References:
                                                                                                     nd
                                                               1.  Weisberg S. (1985). Applied linear regerssion (2 ed.).
               Assessment:                                        Wiley.
               Continuous Assessment:       40%                2.  Bowerman  B.  L.,  &  O'Connel  R.T.  (1990).  Linear
                                                                                nd
               Final Examination:           60%                   statistical models (2  ed.). PWS-Kent.
                                                               3.  Myers, R.H., & Miltors J.S. (1991). A first couse in the
               Medium of Instruction:                             theory of linear statistical models. PWS-Kent.
               English                                         4.   Montgomery, D.C., & Peck, E. A. (1992). Introduction to
                                                                  linear regression analysis. Wiley.
               Soft Skills:                                    5.  J.S.  Milton,  &  J.C.  Arnold  (2004).  Introduction  to
               CS3, CTPS3, TS2, LL2                               probability and statistics. McGraw-Hill.

               References:
               1.   Hogg,  R.V.,  &  Craig,  A.T.  (2013).  Introduction  to   SIT2005   DATA ANALYSIS I
                   mathematical statistics (7  ed.). New York: Wiley.
                                     th
               2.   Hogg,  R.  V.,  &  Tanis,  E.  (2010).  Probability  and   Statistical  Analysis  for  mean,  variance,  count  and
                   statistical inference (8  ed.). USA: Pearson Education.   proportion:  Hypothesis  testing,  confidence  interval  and
                                  th
               3.   Bickel,  P.J.,  &  Doksum,  K.A.  (2001).  Mathematical   tests of independence.
                   statistics: Basic ideas and selected topics (Vol.1) (2    Statistical  analysis  for  regression  and  Correlation:
                                                         nd
                   ed.). Upper Saddle River, NJ: Prentice- Hall.   continuous  response  data,  simple  and  multiple  linear
               4.   Casella, G., & Berger, R.L. (2002). Statistical Inference   model.
                    nd
                   (2  ed.). Pacific Grove, CA: Thompson Learning.
                                                               Statistical  tests:  Goodness  of  fit  tests,  ANOVA,
                                                               Nonparametric test
               SIT2003   STOCHASTIC PROCESSES
                                                               Assessment:
               Definition  and  examples  of  stochastic  processes.   Continuous Assessment:      50%
               Introduction to simple  random  walk.  Discrete  time  Markov   Final Examination:        50%
               Chains.  Transition  probability.  Properties  of  class.
               Transience   and   recurrence   properties.   Absorbing   Medium of Instruction:
               probability.  Stationary  distribution  and  limiting  probability.   English
               Some applications.
                                                               Soft Skills:
               Assessment:                                     CS3, CTPS3
               Continuous Assessment:       40%
               Final Examination:           60%                References:
                                                               1.   Tibco  Spotfire  S-Plus  Guide  to  Statistics  (Vol.  1).
               Medium of Instruction:                              (2008). TIBCO Software Inc.
               English                                         2.   Mann,  Prem.  S.  (2003).  Introductory  statistics.  John
                                                                   Wiley & Sons.
               Soft Skills:                                    3.   Siegel,  A.W.,  &  Morgan,  C.J.  (1998).  Statistics  and
               CS3, CTPS3                                          data analysis.  John Wiley & Sons.




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