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Subject Syllabus

CB-202 - Statistical Methods

CSBS · Semester 2

Course Modules

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Simple linear regression & correlation Multiple regression & multiple correlation Analysis of variance (one way, two way with as well as without interaction)

Point estimation, criteria for good estimates (un-biasedness, consistency)Methods of estimation including maximum likelihood estimation Sufficient Statistic: Concept & examples, complete sufficiency, their application in estimation

Concept & formulation Type I and Type II errors Neyman Pearson lemma Procedures of testing

Comparison with parametric inference Use of order statistics Sign test, Wilcoxon signed rank test, Mann-Whitney test, Run test, Kolmogorov-Smirnov test Spearman's and Kendall's test Tolerance region

Stationary ARIMA Models: Identification, Estimation and Forecasting

Introduction to R, Functions, Control flow and Loops Working with Vectors and Matrices Reading in Data, Writing Data, Working with Data, Manipulating Data Simulation, Linear model, Data Frame, Graphics in R