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概率論(第1卷第4版影印版)(英文版)

  • 作者:(美)M.洛易甫
  • 出版社:世界圖書出版公司
  • ISBN:9787519255770
  • 出版日期:2019/03/01
  • 裝幀:平裝
  • 頁數:425
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內容大鋼
    本書被公認為是一套概率論方面的標準經典教科書,供高年級大學生和研究生使用,同時也是概率論和統計學方面研究人員經常使用的參考書。本書把概率論建立在嚴格的邏輯基礎上,理論體系完整。在第4版中增加了距離空間測定、隨機遊動、布朗運動及不變原理四部分,后兩部分尤為精彩。全書除引言外,兩卷共分五部分,第1卷包括三部分,涉及概率論的基本概念和數學手段。讀者對象:數學及相關專業的研究生。

作者介紹
(美)M.洛易甫

目錄
VOLUME 1
  Ⅰ. INTUITIVE BACKGROUND
    1. Events
    2. Random events and trials
    3. Random variables
  Ⅱ. AXIOMS; INDEPENDENCE AND THE BERN ULLI CASE
    1. Axioms of the finite case
    2. Simple random variables
    3. Independence
    4. Bernoulli case
    5. Axioms for the countable cast
    6. Elementary random variable,s
    7. Need for nonelementary random wariables
  Ⅲ. DEPENDENCE AND CHAINS
    1. Conditional probabilities
    2. Asymptotically Bernoullian ctse
    3. Recurrence
    4. Chain dependence
    * 5. Types of states and asympto'ti~ l:eh atvior
    * 6. Motion of the system
    * 7. Stationary chains .
  COMPLEMENTS AND DETAILS
  PART ONE: NOTIONS OF MEASURE THEORY
    CHAPTER I: SETS, SPACES, AND MEASURES
      1. SETS, CLASSES, AND FUNCTIONS
        1.1 Definitions and notations
        1.2 Differences, unions, and intersections
        1.3 Sequences and limits
        1.4 Indicators of sets
        1.5 Fields and a-fields
        1.6 Monotone classes
        *1.7 Product sets
        *1.8 Functions and inverse functions
        *1.9 Measurable spaces and functions
      *2. TOPOLOGICAL SPACES .
        *2.1 Topologies and limits
        *2.2 Limit points and compact spaces
        *2.3 Countability and metric spaces
        *2.4 Linearity and normed spaces
      3. ADDITIVE SET FUNCTIONS
        3.1 Additivity and continuity
        3.2 Decomposition of additive set functions
      *4. CONSTRUCTION Of MEASURES ON #-FIELDS
        *4.1 Extension of measures
        *4.2 Product probabilities
        *4.3 Consistent probabilities on Borel fields
        *4.4 Lebesgue-Stieltjes measures and distribution functions
      COMPLEMENTS AND DETAILS
    CHAPTER II: MEASURABLE FUNCTIONS AND INTEGRATION
      5. MEASURABLE FUNCTIONS

        5.1 Numbers
        5.2 Numerical functions
        5.3 Measurable functions
      6. MEASURE AND CONVERGENCES
        6.1 Definitions and general properties
        6.2 Convergence almost everywhere
        6.3 Convergence in measure
      7. INTEGRATION
        7.1 Integrals
        7.2 Convergence theorems
      8. INDEFINITE INTEGRALS; ITERATED INTEGRALS
        8.1 Indefinite integrals and Lcbcsgue decomposition
        8.2 Product measures and iterated integrals
        *8.3 Iterated integrals and infinite product spaces
    ……
  PART TWO: GENERAL CONCEPTS AND TOOLS OF PROBALITY THEORY
  PART THREE: INDEPENDENCE
  BIBLIOGRAPHY
  INDEX
VOLUME Ⅱ
  DEPENDENCE
  ELEMENTS OF RANDOM ANALYSIS
  BIBLIOGRAPHY
  INDEX

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