## Bulletin of Mathematical Statistics, Volumes 14-16 |

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### Contents

A Further Comparison of TwoSample Nonparametric Tests for Disperison I | 15 |

A Note on the Efficiency of Tamuras Q Takashi Yanagawa 25 V | 25 |

On the Pattern Classification Problems by Learning I Kensuke Tanaka | 31 |

4 other sections not shown

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additive DP algorithm application of LMT Approach to Biomathematics assume Assumption asymptotic normality asymptotically optimal Baire function Bayes Borel Borel measurable completes the proof context-free language continuous converges convex convex set Corollary decision functions decision problem defined Definition determinative subspace distribution function dynamic programming equation Example finite following lemma given Hence holds hypothesis Kitagawa Kyushu University Lemma linear LOSS/NG Markov Markovian Decision Processes Math matrix measurable function method mxn cell space n—oo obtain optimal policy paper parameter pattern classification problem populations positive constant positive integer positive numbers probability density function procedure prove random variables rank test real number respectively sample satisfies Science Approach Section selected sense of Neustadt sequence of positive sequential stable configuration stationary policy stochastic approximation subset sufficient statistic Suppose Theorem 3.1 tion transformation transition probability variance vector zero