Page 240 - Academic Handbook FoS+29june

8. G.S. Maddala, and K Lahiri, Introduction to Econometrics, Wiley, 2009.

MA2082: BIO-STATISTICS [2 1 0 3]
Biostatistics: Definition and scope, Variables: Measurements, functions, limitations and uses of statistics, A brief description
and tabulation of biological data and their graphical representation, Data collection: types, methods, merits and demerits and
sampling methods; Measures of central tendency: Mean, mode, median, their applications, merits and demerits; Measures of
dispersion: range, standard deviation, mean deviation, merits and demerits, Co-efficient of variations; Probability &
Correlation: Types and methods, regression, simple regression equation, similarities and dissimilarities of correlation and
regression; Testing of hypothesis: Normal test, large sample tests, student ‘t’-test and chi square test; Nonparametric tests:
Run, sign, median, confidence interval for population mean and difference of two population mean; Analysis of variance:
Introduction and application in biology, one-way and two-way ANOVA.
Note: Exposure to SPSS statistics software in Lab.
References:
1. A.K. Sharma. Text Book of Biostatistics I. Discovery Publishing House, New Delhi, 2005.
2. B.K. Mahajan. Methods in Biostatistics. Jaypee Brothers Publishers, New Delhi. 2002.
3. B. L. Agarwal. Basic Statistics. New Age International, New Delhi, 2006.
4. B. Rosner. Fundamentals of Biostatistics. Brooks/Cole Cengage learning, USA. 2010.
5. M. Pagano and K. Gauvreau. Principles of Biostatistics. Brooks/Cole Cengage Learning, USA. 2007.
6. S. Boslaugh. Statistics in a Nutshell. O’Reilly Publishers, New York. 2012.

MA3080: MARKETING RESEARCH AND ANALYSIS [2 1 0 3]
Marketing Research: Introduction, research problem, developing research approach, research design, qualitative Research,
projective technique, case study, descriptive research, design, primary & secondary data, research error, measurement &
scaling, scale development, questionnaire & form design, causal research, experimental design, sampling, hypothesis
development, type I & type II errors, data preparation, hypothesis testing, cross tabulation, ethics, report preparation;
Statistical Methods: Correlation analysis, simple regression analysis, multiple regression analysis; Multivariate Analysis:
Principal component analysis, discriminant Analysis, cluster analysis, factor analysis, confirmatory factor analysis, multi-
dimensional scaling, conjoint analysis, structural equation modeling.
References:
1. N. Malhotra, Marketing Research, Pearson, 2016.
2. K. V. S. Sarma and R. V. Vardhan. Multivariate Statistics Made Simple: A Practical Approach, CRC Press, 2018.
3. R. A. Johnson and D. W. Wichern, Applied Multivariate Statistical Analysis, Prentice Hall of India, 2001.
4. G. A. Churchill and A. Ismail, Marketing Research: A South Asian Perspective, Cengage Learning, 2010.

MA3081: MATHEMATICAL FINANCE [2 1 0 3]
Probability: Probabilities and Events, Conditional probability, Random Variables and Expected Values, Convergence and
correlation, Continuous Random variables, Normal Random Variables, The central limit Theorem, Simple Problems; The
Measurement of Interest: Introduction, The accumulation and amount functions, The effective rate of interest, Simple interest,
Compound interest, Present value, The effective rate of discount, Nominal rates of interest and discount. Yield Rates:
Introduction, Discounted cash flow analysis, Uniqueness of the yield rate, Reinvestment rates, Interest measurement of a fund,
Time-weighted rates of interest, NPV, IRR; Geometric Brownian Motion & The Arbitrage theorem: G.B.M. as a limit of simple
models, Brownian Motion, Simple problems, The multi period Binomial model, proof of the Arbitrage theorem, Black Scholes
formula, properties of the Black Scholes option cost, Derivation of Black Scholes formula, simple problems.
References:
1. D. G. Luenberger, Investment Science, Oxford University Press, Delhi, 1998.
2. J. C. Hull, Options, Futures and Other Derivatives, 6th Ed., Prentice-Hall India, Indian reprint, 2006.
3. A. Cerny Mathematical Techniques in Finance: Tools for Incomplete Markets. Princeton University Press, 2009.
4. S. Ross, An Elementary Introduction to Mathematical Finance, 2nd Ed., Cambridge University Press, USA, 2003.
5. M.Y. Khan, P. K Jain, Financial Management, McGraw Hill Education, India, 7th edition, 2017.

MA3082: MODELLING & SIMULATION [3 0 0 3]
Introduction to Modelling and Simulation: System analysis, classification of systems, system theory basics, its relation to
simulation, model classification, conceptual, abstract, and simulation models, heterogeneous models, methodology of model
building, simulation systems and languages, means for model, discrete simulation models; Continuous System Modelling:
Overview of numerical methods used for continuous simulation, combined simulation, role of simulation in digital systems
design, models of heterogeneous systems; Checking Model Validity: verification of models, analysis of simulation results,
simulation results visualization, interactive simulation, design and control of simulation experiments; Model Optimization:
Generating, transformation, and testing of pseudorandom numbers, stochastic models, Monte Carlo method, overview of
commonly used simulation systems.
References:
th
1. S. Ross, Simulation, Academic Press, 5 edition, 2012.
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