Page 134 - Handbook Bachelor Degree of Science Academic Session 20202021
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Faculty of Science Handbook, Academic Session 2020/2021


               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 processes.
               CS3, CTPS3                                           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
               Final Examination:           60%                   statistical models (2  ed.). PWS-Kent.
                                                                                nd
                                                               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:                                     SIT2005   DATA ANALYSIS I
               1.   Hogg,  R.V.,  &  Craig,  A.T.  (2013).  Introduction  to
                                     th
                   mathematical statistics (7  ed.). New York: Wiley.   Statistical Analysis for mean, variance, count and proportion:
               2.   Hogg,  R.  V.,  &  Tanis,  E.  (2010).  Probability  and   Hypothesis  testing,  confidence  interval  and  tests  of
                   statistical inference (8  ed.). USA: Pearson Education.   independence.
                                  th
               3.   Bickel,  P.J.,  &  Doksum,  K.A.  (2001).  Mathematical
                                                         nd
                   statistics: Basic ideas and selected topics (Vol.1) (2    Statistical  analysis  for  regression  and  Correlation:
                   ed.). Upper Saddle River, NJ: Prentice- Hall.   continuous response data, simple and multiple linear model.
               4.   Casella, G., & Berger, R.L. (2002). Statistical Inference
                   (2  ed.). Pacific Grove, CA: Thompson Learning.   Statistical  tests:  Goodness  of  fit  tests,  ANOVA,
                    nd
                                                               Nonparametric test.

               SIT2003   STOCHASTIC PROCESSES                  Assessment:
                                                               Continuous Assessment:       50%
               Definition  and  examples  of  stochastic  processes.   Final Examination:        50%
               Introduction to simple  random  walk.  Discrete  time  Markov
               Chains.  Transition  probability.  Properties  of  class.   Medium of Instruction:
               Transience   and   recurrence   properties.   Absorbing   English
               probability.  Stationary  distribution  and  limiting  probability.
               Some applications.                              Soft Skills:
                                                               CS3, CTPS3
               Assessment:
               Continuous Assessment:       40%                References:
               Final Examination:           60%                1.   Tibco  Spotfire  S-Plus  Guide  to  Statistics  (Vol.  1).
                                                                   (2008). TIBCO Software Inc.
               Medium of Instruction:                          2.   Mann,  Prem.  S.  (2003).  Introductory  statistics.  John
               English                                             Wiley & Sons.
                                                               3.   Siegel, A.W., & Morgan, C.J. (1998). Statistics and data
               Soft Skills:                                        analysis.    John Wiley & Sons.
               CS3, CTPS3                                      4.   Evans,  J.R.,  &  Olson,  D.L.  (2002).  Statistics,  data
                                                                                             nd
                                                                   analysis and   decision  modeling  (2   ed.).  Prentice
                                                                   Hall.

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