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Home » UPSC Competitive Exams » Indian Economic Service/Indian Statistical Service Examination » Syllabus of Statistics-II for Indian Economic Service/Indian Statistical Service Examination

Syllabus of Statistics-II for Indian Economic Service/Indian Statistical Service Examination

i) Linear Models:

Theory of linear estimation. Gauss-Markoff setup. Least square estimators. Use of g-inverse. analysis of one-way and two way classified data-fixed, mixed and random effect models. Tests for regression coefficients.

ii) Estimation

: Characteristics of good estimator. Estimation methods of maximum likelihood, minimum chi-square, moments and least squares. Optimal properties of maximum likelihood estimators. Minimum variance unbiased estimators. Minimum variance bound estimators. Cramer-Rao inequality. Bhattacharya bounds. Sufficient estimator. factorisation theorem. Complete statistics. Rao-Blackwell theorem. Confidence interval estimation. Optimum confidence bounds. Resampling, Bootstrap and Jacknife.

iii) Hypotheses testing and Statistical Quality Control:

(a) Hypothesis testing:

Simple and composite hypothesis. Two kinds of error. Critical region. Different types of critical regions and similar regions. Power function. Most powerful and uniformly most powerful tests. Neyman-Pearson fundamental lemma. Unbiased test. Randomised test. Likelihood ratio test. Wald's SPRT, OC and ASN functions. Elements of decision and game theory.

(b) Statistical Quality Control:

Control Charts for variable and attributes. Acceptance Sampling by attributes-Single, double, multiple and sequential Sampling plans; Concepts of AOQL and ATI; Acceptance Sampling by variables-use of Dodge-Romig and other tables.

iv) Multivariate Analysis:

Multivariate normal distribution. Estimation of mean Vector and covariance matrix. Distribution of Hotelling's T2-statistic, Mahalanobis's D2-statistic, and their use in testing. Partial and multiple correlation coefficients in samples from a multivariate normal population. Wishart's distribution, its reproductive and other properties. Wilk's criterion. Discriminant function. Principal components. Canonical variates and correlations
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