Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis




xxxv, 592 pages : illustrations ; 26 cm. - (Wiley series in probability and statistics ) Content notes : 1. Introduction, basic concepts, and assumptions --
2. Overview of different types of statistical intervals --
3. Constructing statistical intervals assuming a normal distribution using simple tabulations --
4. Methods for calculating statistical intervals for a normal distribution --
5. Distribution-free statistical intervals --
6. Statistical intervals for a binomial distribution --
7. Statistical intervals for a poisson distribution --
8. Sample size requirements for confidence intervals on distribution parameters --
9. Sample size requirements for tolerance intervals, tolerance bounds, and related demonstration tests --
10. Sample size requirements for prediction intervals --
11. Basic case studies --
12. Likelihood-based statistical intervals --
13. Nonparametric bootstrap statistical intervals --
14. Parametric bootstrap and other simulation-based statistical intervals --
15. Introduction to Bayesian statistical intervals --
16. Bayesian statistical intervals for the binomial, poisson, and normal distributions --
17. Statistical intervals for Bayesian hierarchical models --
18. Advanced case studies. Mathematical statistics. Escobar, Luis A.,

Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


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