TY  - BOOK
AU  - Sengupta,Ashis
AU  - Samanta,Tapas
AU  - Basu,Ayanendranath
TI  - Statistical paradigms: recent advances and reconciliations
T2  - Statistical science and interdisciplinary research
SN  - 9789814343954 (hardcover : alk. paper)
U1  - SA.09 23
PY  - 2015///
CY  - Singapore : 
PB  - World Scientific, 
KW  - Estimation theory
KW  - Parameter estimation
N1  - Platinum Jubilee Series; Includes bibliographical references; 1. Weak paradoxes and paradigms / Jayanta K. Ghosh --
2. Nonparametrics in modern interdisciplinary research : some perspectives and prospectives / Pranab K. Sen --
3. Bounds on distributions involving partial marginal and conditional information : the consequences of incomplete prior specification / Barry C. Arnold --
4. Stepdown procedures controlling a generalized false discovery rate / Wenge Guo and Sanat K. Sarkar --
5. On confidence intervals for expected response in 2[superscript n] factorial experiments with exponentially distributed response variables / H.V. Kulkarni and S.C. Patil --
6. Predictive influence of variables in a linear regression model when the moment matrix is singular / Nurul Haque Mollah and S.K. Bhattacharjee --
7. New wrapped distributions : goodness of fit / A.V. Dattatreya Rao, I. Ramabhadra Sarma and S.V.S. Girija --
8. Non-stationary samples and meta-distribution / Dominique Guegan --
9. MDL model selection criterion for mixed models with an application to spline smoothing / Antti Liski and Erkki P. Liski --
10. Digital governance and hotspot geoinformatics with continuous fractional response / G.P. Patil, S.W. Joshi and R.E. Koli --
11. Bayesian curve registration of functional data / Z. Zhong, A. Majumdar and R.L. Eubank --
12. Nonparametric estimation in a one-way error component model : a Monte Carlo analysis / Daniel J. Henderson and Aman Ullah --
13. GERT analysis of consecutive-k systems : an overview / Kanwar Sen, Manju Agarwal and Pooja Mohan --
14. Moment bounds for strong-mixing processes with applications / Ratan Dasgupta
N2  - A collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a variety of scientific disciplines.
ER  -