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Essentials of Probability Theory for Statisticians最新文献

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Conditional Probability and Expectation 条件概率与期望
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-10
M. Proschan, P. Shaw
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引用次数: 0
Applications 应用程序
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-11
M. Proschan, P. Shaw
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引用次数: 0
Laws of Large Numbers 大数定律
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-7
M. Proschan, P. Shaw
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引用次数: 0
Size Matters 规模很重要
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-2
M. Proschan, P. Shaw
{"title":"Size Matters","authors":"M. Proschan, P. Shaw","doi":"10.1201/9781315370576-2","DOIUrl":"https://doi.org/10.1201/9781315370576-2","url":null,"abstract":"","PeriodicalId":424052,"journal":{"name":"Essentials of Probability Theory for Statisticians","volume":"63 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123187381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Elements of Probability Theory 概率论的基本原理
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-3
M. Proschan, P. Shaw
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引用次数: 2
More on Convergence in Distribution 更多关于分布中的收敛
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-9
M. Proschan, P. Shaw
{"title":"More on Convergence in Distribution","authors":"M. Proschan, P. Shaw","doi":"10.1201/9781315370576-9","DOIUrl":"https://doi.org/10.1201/9781315370576-9","url":null,"abstract":"","PeriodicalId":424052,"journal":{"name":"Essentials of Probability Theory for Statisticians","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133574224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integration and Expectation 整合与期望
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-5
M. Proschan, P. Shaw
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引用次数: 0
Random Variables 随机变量
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-4
M. Proschan, P. Shaw
{"title":"Random Variables","authors":"M. Proschan, P. Shaw","doi":"10.1201/9781315370576-4","DOIUrl":"https://doi.org/10.1201/9781315370576-4","url":null,"abstract":"","PeriodicalId":424052,"journal":{"name":"Essentials of Probability Theory for Statisticians","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123224602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modes of Convergence 收敛模式
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-6
M. Proschan, P. Shaw
{"title":"Modes of Convergence","authors":"M. Proschan, P. Shaw","doi":"10.1201/9781315370576-6","DOIUrl":"https://doi.org/10.1201/9781315370576-6","url":null,"abstract":"the sequence after N is always within ε of the supposed limit a. In contrast, the notion of convergence becomes somewhat more subtle when discussing convergence of functions. In this note we briefly describe a few modes of convergence and explain their relationship. Since the subject quickly becomes very technical, we will state many of the fundamental results without proof. Throughout this discussion, fix a probability space Ω and a sequence of random variables (Xn)n∈N. Also, let X be another random variable.","PeriodicalId":424052,"journal":{"name":"Essentials of Probability Theory for Statisticians","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133452025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Central Limit Theorems 中心极限定理
Essentials of Probability Theory for Statisticians Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-8
M. Proschan, P. Shaw
{"title":"Central Limit Theorems","authors":"M. Proschan, P. Shaw","doi":"10.1201/9781315370576-8","DOIUrl":"https://doi.org/10.1201/9781315370576-8","url":null,"abstract":"","PeriodicalId":424052,"journal":{"name":"Essentials of Probability Theory for Statisticians","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123851198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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