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初等概率論第4版

初等概率論第4版

定 價:¥45.00

作 者: (美)鐘開萊 著
出版社: 世界圖書出版公司
叢編項:
標(biāo) 簽: 概率論與數(shù)理統(tǒng)計

ISBN: 9787510004629 出版時間: 2010-01-01 包裝: 平裝
開本: 24開 頁數(shù): 402 字?jǐn)?shù):  

內(nèi)容簡介

  本書是一部介紹概率論及其應(yīng)用的入門教程。其原始版本面世已經(jīng)有30余年,但仍然是本科一二年級的經(jīng)典概率教程。在第4版中增加了兩章講述應(yīng)用和數(shù)學(xué)金融。傳承前面版本詳細(xì)、嚴(yán)謹(jǐn)?shù)娘L(fēng)格,講述了有價證券和期貨理論的基本知識。書中用最初等的方法講述了概率測度、隨機變量、分布以及期望等基本概念。離散和連續(xù)的案例都有所涉及,在講述后者的時候運用了微積分知識。配以大量的典型例子重點講述概率推理,集中介紹了組合問題、Poison過程、隨機漫步、遺傳模型和Markov鏈。每章末都附有習(xí)題及其解答。目次:集合;概率;計數(shù);隨機變量;附錄。讀者對象:數(shù)學(xué)專業(yè)的本科生以及廣大概率論愛好者。

作者簡介

暫缺《初等概率論第4版》作者簡介

圖書目錄

PREFACE TO THE FOURTH EDITION
PROLOGUE TO INTRODUCTION TO MATHEMATICAL FINANCE
1 SET
 1.1 Sample sets
 1.2 Operations with sets
 1.3 Various relations
 1.4 Indicator
 Exercises
2 PROBABILITY
 2.1 Examples of probability
 2.2 Definition and illustrations
 2.3 Deductions from the axioms
 2.4 Independent events
 2.5 Arithmetical density
 Exercises
3 COUNTING
 3.1 Fundamental rule
 3.2 Diverse ways of sampling
 3.3 Allocation models; binomial coefficients
 3.4 How to solve it
 Exercises
4 RANDOM VARIABLES
 4.1 What is a random variable?
 4.2 How do random variables come about?
 4.3 Distribution and expectation
 4.4 Integer-valued random variables
 4.5 Random variables with densities
 4.6 General case
 Exercises  
APPENDIX 1: BOREL FIELDS AND GENERAL RANDOM VARIABLES
5 CONDITIONING AND INDEPENDENCE
 5.1 Examples of conditioning
 5.2 Basic formulas
 5.3 Sequential sampling
 5.4 P61ya's urn scheme
 5.5 Independence and relevance
 5.6 Genetical models
 Exercises
6 MEAN, VARIANCE, AND TRANSFORMS
 6.1 Basic properties of expectation
 6.2 The density case  
 6.3 Multiplication theorem; variance and covariance
 6.4 Multinomial distribution
 6.5 Generating function and the like
 Exercises
7 POISSON AND NORMAL DISTRIBUTIONS
 7.1 Models for Poisson distribution
 7.2 Poisson process
 7.3 From binomial to normal
 7.4 Normal distribution
 7.5 Central limit theorem
 7.6 Law of large numbers
 Exercises
APPENDIX 2: STIRLING'S FORMULA AND DE MOIVRE-LAPLACE'S THEOREM
8 FROM RANDOM WALKS TO MARKOV CHAINS
 8.1 Problems of the wanderer or gambler
 8.2 Limiting schemes
 8.3 Transition probabilities
 8.4 Basic structure of Markov chains
 8.5 Further developments
 8.6 Steady state
 8.7 Winding up (or down?)
 Exercises
APPENDIX 3: MARTINGALE
9 MEAN-VARIANCE PRICING MODEL
 9.1 An investments primer
 9.2 Asset return and risk
 9.3 Portfolio allocation
 9.4 Diversification
 9.5 Mean-variance optimization
 9.6 Asset return distributions
 9.7 Stable probability distributions
 Exercises
APPENDIX 4: PARETO AND STABLE LAWS
10 OPTION PRICING THEORY
 10.1 Options basics
 10.2 Arbitrage-free pricing: 1-period model
 10.3 Arbitrage-free pricing: N-period model
 10.4 Fundamental asset pricing theorems
Exercises
GENERAL REFERENCES
ANSWERS TO PROBLEMS
VALUES OF THE STANDARD NORMAL DISTRIBUTION FUNCTION
INDEX

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