Lattice Path Combinatorics With Statistical Applications

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出版者:Univ of Toronto Pr 作者:Narayana, T. V. 出品人: 页数:120 译者: 出版时间:1979 价格:32.5 装帧:HRD isbn号码:9780802054050 丛书系列:
图书标签
  • 组合数学
  • 格路
  • 统计应用
  • 概率论
  • 随机过程
  • 计数原理
  • 数学建模
  • 算法
  • 离散数学
  • 排列组合
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具体描述

Lattice path combinatorics has developed greatly as a branch of probability studies recently, and the need for new books on the subject is obvious. The present monograph, by one who has made significant contributions to combinatorics and its applications to probability and statistics, will be useful to research workers, teachers, professional statisticians, and advanced students alike. It treats several recent results and it offers a powerful new tool for studying many problems in mathematical statistics.

The emphasis in the five chapters is on ‘dominance.’ From a consideration of exceedances in the lattice path problem, the text goes on to provide solutions to tests of hypotheses and simple sampling plans, displaying the usefulness of Young chains in the enumeration of the latter. The fourth chapter, on knock-out tournaments, represents one approach to paired comparisons quite close in spirit to dominance and lattice path combinatorics, and the final chapter considers the advantages of using combinatorial methods in statistical problems (including the

Frame-Robinson—Thrall theorem to derive properties of non--parametric tests) and mentions current trends of research. Numerous examples, exercises and references round out the text.

这本书以其深刻的理论基础和丰富的应用案例,旨在为读者提供一个全面系统的学习资源,涵盖了图像网格路径问题及其在统计领域中的广泛意义。内容结构清晰,逻辑严谨,内容从基础概念出发,逐步深入到具体分析方法和实际案例研究,为初学者提供一个坚实的起点,也为更高级的学习者打下扎实的理论基石。书中不仅详细介绍了路径计数、组合数学以及统计物理中的联系,还结合实际数据进行演示,使得抽象的概念更加易于理解和应用。 全书的章节设计充分考虑了不同层次读者的需求,内容从基本定义到复杂问题分析,每个部分都经过精心构建,以确保学习过程的连贯性和深度。对于研究图形计算与统计模型交叉领域的读者来说,这本书提供了宝贵的参考资料,其理论框架不仅有助于理解路径组合问题,还能拓宽对多学科应用的视野。在具体章节中,作者通过详细的数学推导和丰富的实例分析,使读者能够深刻掌握所讨论的核心思想。 书中还特别注重统计方法的运用,深入探讨了如何利用概率模型、随机过程及蒙特卡罗法等工具来解决复杂图像路径问题。这一部分不仅强调了理论的严谨性,还通过实际案例展示了这些方法在真实数据处理和分析中的有效性。作者对不同类型路径问题进行有条不紊地梳理,从经典模型到现代变体,使读者全面了解该领域的最新进展。 此外,书中还引入了一些前沿研究方向,探索图结构在高维数据分析中的潜力,为读者提供了一个思考未来发展的视角。总的来说,这本书不仅是一本内容详尽的图书,更是对学习者进行全面提升的重要工具,通过丰富的理论与实践结合,使理解更加深入、应用更广泛。它在结构设计、内容深度和实际应用方面都达到了极高的标准,适合各类学术研究和专业培训使用。 这个书的价值不仅体现在其理论内容上,还在于它如何将抽象的数学概念与具体的统计问题有机结合,使读者能够更轻松地掌握复杂的分析方法。这种方式确保了学习过程既系统又富有实战性,真正实现了从基础到高级的跨越。通过这本书,读者将获得一个全面、深入且应用广泛的图书知识体系,为进一步的学术研究或职业发展奠定坚实基础。

作者简介

T. V. NARAYANA is a member of the Department of Mathematics at the University of Alberta.

目录信息

PREFACE
l
LATTICE PATH PROBLEMS AND VECTORS 0F INTEGERS
1. Representation of subsets of {1, ..., N}
2. A refinement of the Chung-Feller Theorem
3. Lattice paths and the ballot theorem
4. Repeated reflections and applications
Exercises
References
II
THE DOMINANCE THEOREM AND SMIRNOV TEST-STATISTICS
l. A theorem on domination and its geometrical interpretation
2. Discussion of the dominance theorem and some special cases
3. Duality and application to Smirnov statistics
Exercises
References
III
SOME APPLICATIONS OF DOMINANCE T0 STATISTICAL PROBLEMS
1. The role of dominance in combinatorial problems
2. Dominance tests for Lehmann alternatives
Exercises
References
IV
THE COMBINATORICS OF KNOCK-OUT TOURNAMENTS
1. The classical case
2. Random knock-out tournaments
3. A comparison of tournaments
Exercises
References
V
A MISCELLANY OF FURTHER RESEARCH PROBLEMS
1. A comparison of selection procedures
2. The numbers {n choose r}{n choose r-1}/n
3. Weak inadmissibility of tests
Exercise
References
APPENDIX
On some convolution identities from lattice path combinatorics
References
NOTES AND SOLUTIONS
SUPPLEMENTARY BIBLIOGRAPHY
INDEX
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