PUC Lecturers recruitment 2012 CET syllabus for statistics
Statistics (Subject Code - 11)
PAPER-I
I. Probability:
Sample space and events, probability measure and
probability space, Statistical
continuous random variables, Probability density and
distribution functions, marginal and conditional distribution functions of
random variables and their distributions, expectations and movements, conditional
expectation, correlation coefficient; convergence in probability in LP almost
everywhere, Markov, Chebychev and Kolmogrov inequalities, Borel Cantelli Lemma,
weak and strong law of large numbers probability generating and characteristic
functions. Uniqueness and continuity theorems. Determination of distribution by
moments. Liderbery-Devy Central limit theorem. Standard discrete and continuous
probability distributions, their interrelations including limiting cases.
II. Statistical Inference :
Properties of estimates, consistency, unbiasedness, efficiency,
sufficiency and
completeness. Cramer-Rao bond, Minimum variance
unbiased estimation, RaoBlockwell and Lehmann Sheffe’s theorem methods of
estimation by moments maximum likelihood, minimum Chi-square. Properties of
maximum likelihood estimators confidence intervals for parameters of standard
distribution.
Simple and composite hypotheses, statistical tests
and critical region, two kinds
of error, power function unbiased tests, most
powerful and uniformly most powerful tests Neyman Person Lemma, optimal tests
for simple hypotheses concerning one parameter, monotones likelihood ratio
property and its use in constructing UMP tests, likelihood ratio criterion and
its asymptotic distribution, Chi-square and Kilmogoro tests for goodness of fit.
Run test for randomness Sign test for Location, Wilcoxon MannWhitney test and
Kologor-Smirnov test for the two sample problem. Distribution free confidence
intervals for quantities and confidence band for distribution function. Notions
of a sequential test, Walds SPRT, its Cc and ASN function.
III. Linear Inference and Multivariate Analysis:
Theory of least squares and Analysis of variance, Qauss-Markoff
theory, normal
equations, least squares estimates and their
precision. Tests of significance and
Intervals estimates based on least square theory in
one way, two way and three way classified date. Regression Analysis, linear
regression, estimates and test about correlation and regression, estimates and
tests about correlation and regression coefficient curve linear regression and
orthogonal polynomials, test for linearity of regression Multivariate normal
distribution, multiple regression, Multiple and partialcorrelation, Mahalanoblis
D2 and Hotelling T2-statistics and their applications (derivations of
distribution of D2 and T2 excluded) Fisher’s discriminant analysis.
PAPER - II
I. Sampling Theory and Design of Experiments
Nature and scope of Sampling, simple random sampling,
sampling from finite populations with and without replacement, estimation
of the standard errors sampling with equal probabilities and PPS Sampling. Stratified
random and systematic sampling two stage and multistage sampling. Multiphase
and cluster sampling schemes. Estimation of population total and mean, use of
biased and unbiased estimates auxiliary variables, double sampling standard
errors of estimates cost and variance functions ratio and regression estimates
and their relative efficiency. Planning and organization of sample surveys with
special reference to recent large scale surveys conducted in India .
Principles of experimental designs, CRD, RED, LSD, missing
plot technique factorial experiments 2n and 3n design general theory of total
and partial confounding and fractional replication. Analysis of split plot, BIB
and simple lattice designs.
II. Engineering Statistics :
Concepts of quality and meaning of control. Different
types of control charts like
X-R charts, P charts np charts and cumulative sum
control charge. Sampling inspection Vs 100 percent inspections. Single, double,
multiple and sequential sampling plans for attributes inspection, CC, ASM, and
ATI, curves, Concept of producer’s risk and consumer’s risk. AQL, AQQL, LTPD
etc. Variable sampling plants. Definition of Reliability, maintainability and
availability. Live distribution failure rate and both-tub, failure curve
exponential and Welbull model. Reliability of series and Parallel systems and
other simple configurations. Different types of redundancy like hot and cold
and use of redundancy In reliability Improvement problem In life testing, censored
and truncated experiments for exponential model,
III. Operational Research :
Scope and definition of OR different types of models,
their construction and
obtaining solution. Homogenous discrete time Markov
chains, transition probability martris, classification of states and ergodic
theorems. Homogenous continuous time Markov chains. Elements of queuing theory,
M/M/I and M/M/K queues, the problem of machine interference and GI/M/I and M/GI
queues.Concept of Scientific inventory management and analytical structure of
inventory problems Simple models with determinist and stochastic demand with
and without leadtime. Storage models with particular reference to dam type.
The structure and formation of a Linear programming
problem.
The simplex procedure two phase methods and charnes -
Method with artifical
variables. The quality theory of liner programming
and its economic interpretation
Sensitivity analysis. Transportation and Assignment
problems. Replacement of items that fail and those that deteriorate group and
individual replacement policies. Introduction to computers and elements of
Fortran IV programming formats for input and output statements specification
and logical statements and sub-routines. Application to some simple statistical
problems.
IV. Quantitative Economics :
Concept of time series, additive and multiplicative
models, resolution into; four components, determination of trend by freehand
drawing, moving averages, and fitting of mathematical curves, seasonal indices and
estimate of the variance of the random components. Definition, construction, interpretation,
and limitations of index numbers, Lespeyre Parsche Edgewoth Marshall and Fisher
index numbers their comparisons tests for Index numbers and construction of cost
of living index. Theory and analysis of consumer demand - specification and
estimation of demand function. Demand elasticities. Theory of production, supply
functions and elasticities, input demand functions. Estimation of parameters in
single equation model, classical least squares, generalized least squares, heterscedasticity,
serial correlation, muticollinearity, errors in variables model, simultaneous
equation models-identification, rank and order conditions. Indirect least
squares and two; sage least squares. Short-term economic forecasting.
V. Demography and Psychometry: Sources of demographic
data : census registration : NSS and
other demographic surveys. Limitation and uses of demographic data. Vital rates
and ratios : Definition, construction and uses.Life tables, complete and
abridged : construction of life tables from vital statistics
and census returns, Uses of life tables. Logistic and
other population growth curves. Measure of fertility, Gross and net reproduction
rates.
Stable population theory, Uses of stable, and
quasistable population techniques
in estimation of demographic parameters. Mormidity
and its measurement standard classification by cause of death. Health surveys
and use of hospital statistics. Educational and psychological statistics
methods of Standardisation of scales tests, IQ tests, reliability of test and T
and Z scores.
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