Indian Statistical Service Exam
1. 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.
2. 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
3. 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 distribution- Pareto and
Engel curves. Concentration curve. Methods of estimating national income. Inter-sectoral
flows. Inter-industry table. Role of CSO.
4. 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