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Optimal and efficient designs for Gompertz regression models
Li, Gang - In: Annals of the Institute of Statistical Mathematics 64 (2012) 5, pp. 945-957
Gompertz functions have been widely used in characterizing biological growth curves. In this paper we consider D-optimal designs for Gompertz regression models. For homoscedastic Gompertz regression models with two or three parameters, we prove that D-optimal designs are minimally supported....
Persistent link: https://www.econbiz.de/10010848675
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The Exact and Limiting Distributions for the Number of Successes in Success Runs Within a Sequence of Markov-Dependent Two-State Trials
Fu, James; Lou, W.; Bai, Zhi-Dong; Li, Gang - In: Annals of the Institute of Statistical Mathematics 54 (2002) 4, pp. 719-730
Persistent link: https://www.econbiz.de/10005760161
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A Bootstrap Approach to Nonparametric Regression for Right Censored Data
Li, Gang; Datta, Somnath - In: Annals of the Institute of Statistical Mathematics 53 (2001) 4, pp. 708-729
Persistent link: https://www.econbiz.de/10005616269
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On large deviation expansion of distribution of maximum likelihood estimator and its application in large sample estimation
Fu, J.; Li, Gang; Zhao, D. - In: Annals of the Institute of Statistical Mathematics 45 (1993) 3, pp. 477-498
Persistent link: https://www.econbiz.de/10005616288