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THE ET INTERVIEW: B.L.S. PRAKASA RAO
Part of:
ET Interviews
Published online by Cambridge University Press: 27 September 2010
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References
REFERENCES
Basawa, I.V.
& Scott, D.J.
(1983) Asymptotic Optimal
Inference for Non-ergodic Models.
Lecture Notes in Statistics 17.
Springer-Verlag.CrossRefGoogle Scholar
Bhat, B.R.
(1974) On the method
of maximum-likelihood for dependent
observations. Journal of
the Royal Statistical Society, Series B
36,
48–53.Google Scholar
Billingsley, P.
(1961) Statistical Inference
for Markov Processes.
University of Chicago
Press.Google Scholar
Bose, Arup
(1983a) Asymptotic
theory of estimation in non-linear stochastic
differential equations for the multiparameter
case. Sankhyā, Series
A
45,
56–65.Google Scholar
Bose, Arup
(1983b) The
Bernstein-von Mises theorem for a certain class of
diffusion processes.
Sankhyā, Series A
45,
150–160.Google Scholar
Chakravarti, I.M.,
Laha, R.G.,
& Roy, J.
(1967) Handbook of Methods of
Applied Statistics, vol.
1.
Wiley.Google Scholar
Chernoff, H.
(1964) Estimation of
the mode. Annals of the
Institute of Statistical Mathematics
16,
31–41.CrossRefGoogle Scholar
Ibragimov, I.A.
& Khasminski, R.Z.
(1981) Statistical
Estimation: Asymptotic Theory.
Springer-Verlag.CrossRefGoogle Scholar
Jeganathan, P.
(1982) On the
asymptotic theory of estimation when the limit of
the log-likelihood ratio is mixed
normal. Sankhyā
44,
173–212.Google Scholar
Kallianpur, G.
& Rao, C.R.
(1955) On Fisher’s
lower bound to asymptotic variance of a consistent
estimat. Sankhyā
16,
331–342.Google Scholar
Le
Cam, L.
& Yang, C.L.
(2000) Asymptotics in
Statistics: Some Basic Concepts,
2nd ed.
Springer-Verlag.CrossRefGoogle Scholar
Parzen, E.
(1954) On uniform
convergence of families of sequences of random
variables. University of California Publications
in Statistics 2, pp.
23–53.Google Scholar
Prakasa
Rao, B.L.S.
& Sen, Arusharka
(1995a) An application
of the “martingale methods” to nonparametric
regression based on censored data.
Statistics & Decisions
13,
201–220.Google Scholar
Prakasa
Rao, B.L.S.
& Sen, Arusharka
(1995b) Limit
distributions of conditional
U-statistics.
Journal of Theoretical
Probability
8,
261–301.CrossRefGoogle Scholar
Prasad, M.S.
& Prakasa
Rao, B.L.S.
(1976) Maximum
likelihood estimation for dependent random
variables. Journal of the
Indian Statistical Association
14,
75–97.Google Scholar
Rao, C.R.,
Mitra, S.K.,
& Matthai, A.
(1996) Formulae and Tables
for Statistical Work.
Calcutta Statistical Publishing
Society.Google Scholar
Roussas, G.G.
(1991) Kernel
estimates under association: Strong uniform
consistency. Statistics
and Probability Letters
12,
393–403.CrossRefGoogle Scholar
Roussas, G.G.
(2008) On conditional
independence, mixing and
association, Stochastic
Analysis and Applications
26,
1274–1309.CrossRefGoogle Scholar