1 |
Tanner, M. A. (1998). Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions, Springer, New York.
|
2 |
Tsutakawa, R. K. (1972). Design of experiment for bioassay, Journal of the American Statistical Association, 67, 584-590.
DOI
|
3 |
Berger, J. O. (1985). Statistical Decision Theory and Bayesian Analysis, Springer, New York.
|
4 |
Box, G. E. P. and Tiao, G. C.(1973). Bayesian Inference in Statistical Analysis, Addison-Wesley, Reading, MA.
|
5 |
Chaloner, K. and Larntz, K.(1989). Optimal Bayesian design applied to logistic regression experiments, Journal of Statistical Planning and Inference, 21, 191-208.
DOI
|
6 |
Raiffa, H. and Schlaifer, R. (1961). Applied Statistical Decision Theory, Harvard Business School, Boston.
|
7 |
Chaloner, K. and Verdinellli, I.(1995). Bayesian experimental design: A review, Statistical Science, 10, 273-304.
DOI
|
8 |
Huan, X. and Marzouk, Y. M.(2013). Simulation-based optimal Bayesian experimental design for nonlinear systems, Journal of Computational Physics, 232, 288-317.
DOI
|
9 |
Lindley, D. V. (1972). Bayesian Statistics-A Review, SIAM, Philadelphia.
|
10 |
Nelder, J. A. and Mead, R. (1965). A Simplex method for function minimization, Computer Journal, 7, 308-313.
DOI
|
11 |
Shannon, C. E. (1948). A mathematical theory and communication, Bell System Technology Journal, 27, 379-423, 623-656.
DOI
|
12 |
Sun, D., Tsutakawa, R. K. and Lu, W. S. (1996). Bayesian design of experiment for quantal response: What is promised versus what is delivered, Journal of Statistical Planning and Inference, 52, 289-306.
DOI
|