No.842
Sequential Analysis and Statistical Inference
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1993/03/09`1993/03/11
Τ•½ Ή•Ά
Masafumi Akahira
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–ځ@ŽŸ
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1. Bayes sequential decision rules in the multinomial sampling(Sequential Analysis and Statistical Inference)------------------------1
@@@@’}”g‘εŠw”ŠwŒn / ’}”g‘εŠw”ŠwŒn@@@¬’r Œ’ˆκ / Τ•½ Ή•Ά@(Koike, Ken-ichi / Akahira, Masafumi)
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2. BayesM—Š‹ζŠΤ‚ΙŠξ‚Γ‚­ŒŸ’θ”α”»----------------------------------------------------------------------------------------------------12
@@@@’}”g‘εŠw”ŠwŒn@@@²“‘ “Ήˆκ@(Sato, Michikazu)
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3. Two-Stage Point Estimation with a Shrinkage Stopping Rule(Sequential Analysis and Statistical Inference)-------------------------36
@@@@University of Tokyo@@@‹v•Ϋμ ’B–η@(Kubokawa, Tatsuya)
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4. Sequential Estimation of the Variance of a Normal Distribution-------------------------------------------------------------------49
@@@@Graduate School of Science and Technology, Niigata University / Faculty of Science, Niigata University@@@‰F–μ —Ν / ˆιŠL ‰pˆκ@(Uno, Chikara / Isogai, Eiichi)
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5. The Cramer-Rao lower bound for sequential estimation in the multiparameter case(Sequential Analysis and Statistical Inference)---61
@@@@’}”g‘εŠw”ŠwŒn@@@¬’r Œ’ˆκ@(Koike, Ken-ichi)
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6. Bayes risk and information inequalities(Sequential Analysis and Statistical Inference)-------------------------------------------76
@@@@’}”g‘εŠw”ŠwŒn / ’}”g‘εŠw”ŠwŒn@@@²“‘ “Ήˆκ / Τ•½ Ή•Ά@(Sato, Michikazu / Akahira, Masafumi)
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7. „’θŠΦ”‚ΜŠτ‰½Šw‚Ζ‚»‚Μ‰ž—p------------------------------------------------------------------------------------------------------101
@@@@“Œ‹ž‘εŠwHŠw•”Œv”HŠw‰Θ / “Œ‹ž‘εŠwHŠw•”Œv”HŠw‰Θ@@@μ“η Œ³–Ύ / ŠΓ—˜ rˆκ@(Kawanabe, Motoaki / Amari, Shun-ichi)
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8. An optimal variable cell histogram based on sample spacings(Sequential Analysis and Statistical Inference)----------------------126
@@@@University of Tsukuba@@@‹ΰΰV —Yˆκ˜Y@(Kanazawa, Yuichiro)
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9. Two-stage sequential estimation procedures for the uniform distribution(Sequential Analysis and Statistical Inference)----------151
@@@@’}”g‘εŠw”ŠwŒn@@@Τ•½ Ή•Ά@(Akahira, Masafumi)
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