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UPSC Indian Statistical Service Examination Syllabus for Statistics III 2011

Read on to find syllabus of Statistics III for Indian Statistical Service (ISS) Examination which will be conducted by Union Public Service Commission on 3 December 2011

Sep 1, 2011 16:11 IST
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A combined competitive examination for recruitment to Grade IV of the Services (Indian Economic Service and Indian Statistical Service) will be held by the Union Public Service Commission in accordance with the Rules published by the Ministry of Statistics & Programme Implementation in the Gazette of India.

Name of the Post & Number of Vacancies

  • Indian Economic Service: 19 vacancies
  • Indian Statistical Service: 46 vacancies

The examination shall be conducted according to the following Plan:

  • Written examination carrying a maximum of 1000 marks in the following subjects.
  • Viva voce of such candidates as may be called by the Commission, carrying a maximum of 200 marks.

Indian Statistical Service (IES) Written Exam:

  • General English (100 marks, 3 hours)
  • General Studies (100 marks, 3 hours)
  • General Economics- I (200 marks, 3 hours)
  • General Economics- II (200 marks, 3 hours)
  • General Economics- III (200 marks, 3 hours)
  • Indian Economics (200 marks, 3 hours)

Statistics-III

  • Sampling Techniques: Census versus sample survey. Pilot and large scale sample surveys. Role of NSS organisation. Simple random sampling with and without replacement. Stratified sampling and sample allocations. Cos and Variance functions. Ratio and Regression methods of estimation. Sampling with probability proportional to size. Cluster, double, multiphase, multistage and systematic sampling. Interpenetrating sub-sampling. Nonsampling errors.
  • Design and Analysis of Experiments: Principles of design of experiments. Layout and analysis of completely randomised, randomised block and Latin square designs. Factorial experiments and confounding in 2n and 3n experiments. Split-plot and strip-plot designs. Construction and analysis of balanced and partially balanced incomplete block designs. Analysis of covariance. Analysis of non-orthogonal data. analysis of missing and mixed plot data.
  • Economic Statistics: Components of time series. Methods of their determination-variate difference method. Yule-Slutsky effect. Correlogram. Autoregressive models of first and second order. Periodogram analysis. Index numbers of prices and quantities and their relative merits. Construction of index numbers of wholesale and consumer prices. Income distributionPareto and Engel curves. Concentration curve. Methods of estimating national income. Inter-sectoral flows. Inter-industry table. Role of CSO.
  • Econometrics: Theory and analysis of consumer demand-specification and estimation of demand functions. Demand elasticities. Structure and model. Estimation of parameters in single equation model-classical least squares, generalised least-square, heteroscedasticity, serial correlation, multi-collinearity, errors in variable model. Simultaneous equation models-Identification, rank and other conditions. Indirect least squares and two stage least squares. Short-term economic forecasting.

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